{smcl}
{com}{sf}{ul off}{txt}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}C:\Users\swhitt\Desktop\US Russia cyber security replication data\US Russia cybersecurity replication log file.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res}28 Feb 2025, 21:25:48

{com}. do "C:\Users\swhitt\Desktop\US Russia cyber security replication data\US Russia cybersecurity replication do file.do"
{txt}
{com}. *Replication Instructions for
. 
. *Going Public About Cyber Attacks: Public Threat Sensitivity and Support for Escalation in the United States and Russia
. 
. *Sam Whitt, Vitali Shkliarov, Vera Mironova
. 
. 
. *Below are instructions for replicating all manuscript and online appendix tables and figures in STATA using the dataset "US Russia cybersecurity replication data.dta". Please contact Sam Whitt (swhitt@highpoint.edu) for questions regarding data replication. See also the dofile "US Russia cybersecurity replication do file". 
. 
. *Note: You may need to install STATA packages for the cibar, catcibar, and iebaltab commands. Use findit with the command name to identify and download the appropriate packets to install. 
. 
. *Note: In addition, some graphs require additional formatting using filename.grec files with the graph play command. To format a graph, simply run the command to generate the graph in the do file in STATA, then open the "Graph Editor" in STATA and click on the GREEN "Play Recording" button, then select "Browse" to select the grec file from the folder "grec files for STATA graph formatting" among Replication files. The name of the grec file is indicated in the note below the graph command in the do file for the specific graph you wish to format. This should automatically format the graph, which you may then save to a location of your choosing.
. 
. *Manuscript Replication
. 
. *"Stata user generated commands to install for replication purposes"
. 
. *"cibar"
. 
. ssc install cibar, replace
{txt}checking {hilite:cibar} consistency and verifying not already installed...
all files already exist and are up to date.

{com}. 
. *"iebaltab from ietoolkit"
. 
. ssc install ietoolkit, replace
{txt}checking {hilite:ietoolkit} consistency and verifying not already installed...
all files already exist and are up to date.

{com}. 
. *"catcibar"
. 
. net install catcibar, from("https://aarondwolf.github.io/catcibar") replace
checking {hilite:catcibar} consistency and verifying not already installed...
all files already exist and are up to date.
{txt}
{com}. 
. *Manuscript Replication
. 
. *In text replication
. 
. *Factor analysis indicates that responses to these items aligned well on single latent dimensions, so we created indices of personal threat sensitivity (Factor 1 Eigenvalue = 2.48, Cronbach's alpha=0.86) and national threat sensitivity (Factor 1 Eigenvalue = 2.43, Cronbach alpha=0.87) which both range from 1=not at all concerned to 4=very concerned. 
. 
. factor revcyber_emails- revcyber_health 
{txt}(obs=3,357)

Factor analysis/correlation{col 50}Number of obs    = {res}     3,357
{col 5}{txt}Method: principal factors{col 50}Retained factors =   {res}       1
{col 5}{txt}Rotation: (unrotated){col 50}Number of params =   {res}       4

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}     Factor  {c |} {ralign 12:Eigenvalue}   Difference        Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 11:Factor1}  {c |}{res}      2.42349      2.49314            1.1311       1.1311
{txt}{col 5}{ralign 11:Factor2}  {c |}{res}     -0.06965      0.01256           -0.0325       1.0986
{txt}{col 5}{ralign 11:Factor3}  {c |}{res}     -0.08222      0.04675           -0.0384       1.0602
{txt}{col 5}{ralign 11:Factor4}  {c |}{res}     -0.12896            .           -0.0602       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}
{col 5}LR test: independent vs. saturated:  chi2({res}6{txt})  ={res} 6647.09{txt} Prob>chi2 ={res} 0.0000

{txt}Factor loadings (pattern matrix) and unique variances

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 14}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Factor1}{space 1}{c |}{space 1}{ralign 12:Uniqueness}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 14}
{space 4}{space 0}{ralign 12:revcyber_~ls}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.8125}}}{space 1}{c |}{space 1}{center 12:{res:{sf:    0.3398}}}{space 1}
{space 4}{space 0}{ralign 12:revcyber_f~s}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.8437}}}{space 1}{c |}{space 1}{center 12:{res:{sf:    0.2881}}}{space 1}
{space 4}{space 0}{ralign 12:revcyber_b~g}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.7540}}}{space 1}{c |}{space 1}{center 12:{res:{sf:    0.4315}}}{space 1}
{space 4}{space 0}{ralign 12:revcyber_h~h}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.6949}}}{space 1}{c |}{space 1}{center 12:{res:{sf:    0.5171}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 14}

{com}. alpha revcyber_emails- revcyber_health 

{txt}Test scale = mean(unstandardized items)

Average interitem covariance:{col 34}{res} .5187585
{txt}Number of items in the scale:{col 34}{res}        4
{txt}Scale reliability coefficient:{col 34}{res}   0.8683
{txt}
{com}. 
. factor revcyber_business- revcyber_infrastructure 
{txt}(obs=3,356)

Factor analysis/correlation{col 50}Number of obs    = {res}     3,356
{col 5}{txt}Method: principal factors{col 50}Retained factors =   {res}       1
{col 5}{txt}Rotation: (unrotated){col 50}Number of params =   {res}       4

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}     Factor  {c |} {ralign 12:Eigenvalue}   Difference        Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 11:Factor1}  {c |}{res}      2.42755      2.45868            1.1343       1.1343
{txt}{col 5}{ralign 11:Factor2}  {c |}{res}     -0.03113      0.09052           -0.0145       1.1197
{txt}{col 5}{ralign 11:Factor3}  {c |}{res}     -0.12165      0.01293           -0.0568       1.0629
{txt}{col 5}{ralign 11:Factor4}  {c |}{res}     -0.13458            .           -0.0629       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}
{col 5}LR test: independent vs. saturated:  chi2({res}6{txt})  ={res} 6555.86{txt} Prob>chi2 ={res} 0.0000

{txt}Factor loadings (pattern matrix) and unique variances

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 14}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Factor1}{space 1}{c |}{space 1}{ralign 12:Uniqueness}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 14}
{space 4}{space 0}{ralign 12:revcyber_b~s}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.7632}}}{space 1}{c |}{space 1}{center 12:{res:{sf:    0.4176}}}{space 1}
{space 4}{space 0}{ralign 12:revcyber_g~l}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.8026}}}{space 1}{c |}{space 1}{center 12:{res:{sf:    0.3558}}}{space 1}
{space 4}{space 0}{ralign 12:revcyber_~ns}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.7646}}}{space 1}{c |}{space 1}{center 12:{res:{sf:    0.4154}}}{space 1}
{space 4}{space 0}{ralign 12:revcyber_i~e}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.7851}}}{space 1}{c |}{space 1}{center 12:{res:{sf:    0.3837}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 14}

{com}. alpha revcyber_business- revcyber_infrastructure 

{txt}Test scale = mean(unstandardized items)

Average interitem covariance:{col 34}{res} .6125503
{txt}Number of items in the scale:{col 34}{res}        4
{txt}Scale reliability coefficient:{col 34}{res}   0.8718
{txt}
{com}. 
. *We find that priming on U.S. accusations of a Russian attack has the highest impact on threat sensitivity in the United States, relative to the control group (Cohen's d=0.19). 
. 
. esize twosample alphagenthreat if cybertxt~=2 & russia==0, by(cybertxt)

{txt}Effect size based on mean comparison

                               Obs per group:
                                     control =        452
                                  US accuses =        446
{res}{col 1}{text}{hline 20}{c TT}{hline 12}{hline 12}{hline 12}
{col 1}{text}        Effect size{col 21}{c |}   Estimate{col 34}    [95% conf. interval]
{res}{col 1}{text}{hline 20}{c +}{hline 12}{hline 12}{hline 12}
{col 1}{text}          Cohen's {it:d}{col 21}{c |}{result}{space 2} -.191344{col 34}{space 3}-.3224031{col 46}{space 3}-.0601787
{col 1}{text}         Hedges's {it:g}{col 21}{c |}{result}{space 2}-.1911838{col 34}{space 3}-.3221331{col 46}{space 3}-.0601283
{col 1}{text}{hline 20}{c BT}{hline 12}{hline 12}{hline 12}
{res}{txt}
{com}. 
. *We found that Americans are more threatened by Russia than Russians of the United States (unpaired t-test=18.8, p<0.0000). 
. 
. ttest revthreat, by(usa) unpaired unequal

{txt}Two-sample t test with unequal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. err.{col 47}Std. dev.{col 59}[95% conf. interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}  2,000{col 22}   2.5185{col 34} .0221828{col 46} .9920433{col 58} 2.474996{col 70} 2.562004
       {txt}1 {c |}{res}{col 12}  1,361{col 22} 3.121969{col 34} .0231007{col 46} .8522259{col 58} 3.076652{col 70} 3.167286
{txt}{hline 9}{c +}{hline 68}
Combined {c |}{res}{col 12}  3,361{col 22} 2.762868{col 34} .0169644{col 46} .9834956{col 58} 2.729607{col 70}  2.79613
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.6034691{col 34} .0320268{col 58}-.6662645{col 70}-.5406738
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}-18.8426
{txt}H0: diff = 0                     Satterthwaite's degrees of freedom = {res} 3183.13

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.0000         {txt}Pr(|T| > |t|) = {res}0.0000          {txt}Pr(T > t) = {res}1.0000
{txt}
{com}. 
. *Substantively, 49.5% of Russians agreed that the United States is a threat compared to 79.8% of Americans who view Russia as a threat. 
. 
. tab threat if russia==1

   {txt}Russia/US is a {c |}
    threat to the {c |}
        US/Russia {c |}      Freq.     Percent        Cum.
{hline 18}{c +}{hline 35}
   strongly agree {c |}{res}        391       19.55       19.55
{txt}   somewhat agree {c |}{res}        598       29.90       49.45
{txt}somewhat disagree {c |}{res}        668       33.40       82.85
{txt}strongly disagree {c |}{res}        343       17.15      100.00
{txt}{hline 18}{c +}{hline 35}
            Total {c |}{res}      2,000      100.00
{txt}
{com}. tab threat if usa==1

   {txt}Russia/US is a {c |}
    threat to the {c |}
        US/Russia {c |}      Freq.     Percent        Cum.
{hline 18}{c +}{hline 35}
   strongly agree {c |}{res}        514       37.77       37.77
{txt}   somewhat agree {c |}{res}        572       42.03       79.79
{txt}somewhat disagree {c |}{res}        202       14.84       94.64
{txt}strongly disagree {c |}{res}         73        5.36      100.00
{txt}{hline 18}{c +}{hline 35}
            Total {c |}{res}      1,361      100.00
{txt}
{com}. 
. *Factor analysis indicates that responses align on single latent dimensions, so we combined responses into indices for defensive cyber responses (Factor 1 Eigenvalue =1.57, alpha=0.80) and offensive cyber responses (Factor 1 Eigenvalue =1.26, alpha=0.72).  
. 
. factor revwarnpublic revincsecurity revdiplomacy 
{txt}(obs=3,360)

Factor analysis/correlation{col 50}Number of obs    = {res}     3,360
{col 5}{txt}Method: principal factors{col 50}Retained factors =   {res}       1
{col 5}{txt}Rotation: (unrotated){col 50}Number of params =   {res}       3

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}     Factor  {c |} {ralign 12:Eigenvalue}   Difference        Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 11:Factor1}  {c |}{res}      1.56678      1.68724            1.2358       1.2358
{txt}{col 5}{ralign 11:Factor2}  {c |}{res}     -0.12047      0.05803           -0.0950       1.1408
{txt}{col 5}{ralign 11:Factor3}  {c |}{res}     -0.17849            .           -0.1408       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}
{col 5}LR test: independent vs. saturated:  chi2({res}3{txt})  ={res} 3196.02{txt} Prob>chi2 ={res} 0.0000

{txt}Factor loadings (pattern matrix) and unique variances

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 14}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Factor1}{space 1}{c |}{space 1}{ralign 12:Uniqueness}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 14}
{space 4}{space 0}{ralign 12:revwarnpub~c}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.7523}}}{space 1}{c |}{space 1}{center 12:{res:{sf:    0.4340}}}{space 1}
{space 4}{space 0}{ralign 12:revincsecu~y}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.7515}}}{space 1}{c |}{space 1}{center 12:{res:{sf:    0.4352}}}{space 1}
{space 4}{space 0}{ralign 12:revdiplomacy}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.6603}}}{space 1}{c |}{space 1}{center 12:{res:{sf:    0.5639}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 14}

{com}. alpha revwarnpublic revincsecurity revdiplomacy 

{txt}Test scale = mean(unstandardized items)

Average interitem covariance:{col 34}{res} .3162774
{txt}Number of items in the scale:{col 34}{res}        3
{txt}Scale reliability coefficient:{col 34}{res}   0.7968
{txt}
{com}. 
. factor revsanctions revcyberattack revmilstrike 
{txt}(obs=3,360)

Factor analysis/correlation{col 50}Number of obs    = {res}     3,360
{col 5}{txt}Method: principal factors{col 50}Retained factors =   {res}       1
{col 5}{txt}Rotation: (unrotated){col 50}Number of params =   {res}       3

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}     Factor  {c |} {ralign 12:Eigenvalue}   Difference        Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 11:Factor1}  {c |}{res}      1.26393      1.37001            1.3318       1.3318
{txt}{col 5}{ralign 11:Factor2}  {c |}{res}     -0.10609      0.10274           -0.1118       1.2200
{txt}{col 5}{ralign 11:Factor3}  {c |}{res}     -0.20883            .           -0.2200       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}
{col 5}LR test: independent vs. saturated:  chi2({res}3{txt})  ={res} 2157.20{txt} Prob>chi2 ={res} 0.0000

{txt}Factor loadings (pattern matrix) and unique variances

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 14}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Factor1}{space 1}{c |}{space 1}{ralign 12:Uniqueness}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 14}
{space 4}{space 0}{ralign 12:revsanctions}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.5480}}}{space 1}{c |}{space 1}{center 12:{res:{sf:    0.6997}}}{space 1}
{space 4}{space 0}{ralign 12:revcyberat~k}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.7041}}}{space 1}{c |}{space 1}{center 12:{res:{sf:    0.5042}}}{space 1}
{space 4}{space 0}{ralign 12:revmilstrike}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.6840}}}{space 1}{c |}{space 1}{center 12:{res:{sf:    0.5322}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 14}

{com}. alpha revsanctions revcyberattack revmilstrike 

{txt}Test scale = mean(unstandardized items)

Average interitem covariance:{col 34}{res} .4733665
{txt}Number of items in the scale:{col 34}{res}        3
{txt}Scale reliability coefficient:{col 34}{res}   0.7247
{txt}
{com}. 
. *Americans are more prone to escalation when primed about either the U.S. or Russian government going public about cyberattacks relative to control (Cohen's d=0.08, 0.15 respectively). 
. 
. esize twosample revmilstrike if cybertxt~=2 & russia==0, by(cybertxt)

{txt}Effect size based on mean comparison

                               Obs per group:
                                     control =        451
                                  US accuses =        446
{res}{col 1}{text}{hline 20}{c TT}{hline 12}{hline 12}{hline 12}
{col 1}{text}        Effect size{col 21}{c |}   Estimate{col 34}    [95% conf. interval]
{res}{col 1}{text}{hline 20}{c +}{hline 12}{hline 12}{hline 12}
{col 1}{text}          Cohen's {it:d}{col 21}{c |}{result}{space 2}-.0758257{col 34}{space 3}-.2067363{col 46}{space 3} .0551272
{col 1}{text}         Hedges's {it:g}{col 21}{c |}{result}{space 2}-.0757621{col 34}{space 3} -.206563{col 46}{space 3}  .055081
{col 1}{text}{hline 20}{c BT}{hline 12}{hline 12}{hline 12}
{res}{txt}
{com}. esize twosample revmilstrike if cybertxt~=1 & russia==0, by(cybertxt)

{txt}Effect size based on mean comparison

                               Obs per group:
                                     control =        451
                              Russia accuses =        464
{res}{col 1}{text}{hline 20}{c TT}{hline 12}{hline 12}{hline 12}
{col 1}{text}        Effect size{col 21}{c |}   Estimate{col 34}    [95% conf. interval]
{res}{col 1}{text}{hline 20}{c +}{hline 12}{hline 12}{hline 12}
{col 1}{text}          Cohen's {it:d}{col 21}{c |}{result}{space 2}-.1500789{col 34}{space 3}-.2798224{col 46}{space 3}-.0202534
{col 1}{text}         Hedges's {it:g}{col 21}{c |}{result}{space 2}-.1499555{col 34}{space 3}-.2795925{col 46}{space 3}-.0202367
{col 1}{text}{hline 20}{c BT}{hline 12}{hline 12}{hline 12}
{res}{txt}
{com}. 
. *Russians in the going public treatments are less inclined to escalation than in the control group, preferring defensive options even in the face of public accusations of cyberattacks by either their own government or by a rival power, the United States (Cohen's d=-0.10, -0.12 respectively). 
. 
. esize twosample revmilstrike if cybertxt~=2 & russia==1, by(cybertxt)

{txt}Effect size based on mean comparison

                               Obs per group:
                                     control =        680
                                  US accuses =        649
{res}{col 1}{text}{hline 20}{c TT}{hline 12}{hline 12}{hline 12}
{col 1}{text}        Effect size{col 21}{c |}   Estimate{col 34}    [95% conf. interval]
{res}{col 1}{text}{hline 20}{c +}{hline 12}{hline 12}{hline 12}
{col 1}{text}          Cohen's {it:d}{col 21}{c |}{result}{space 2}  .100241{col 34}{space 3}-.0074012{col 46}{space 3} .2078455
{col 1}{text}         Hedges's {it:g}{col 21}{c |}{result}{space 2} .1001844{col 34}{space 3} -.007397{col 46}{space 3}  .207728
{col 1}{text}{hline 20}{c BT}{hline 12}{hline 12}{hline 12}
{res}{txt}
{com}. esize twosample revmilstrike if cybertxt~=1 & russia==1, by(cybertxt)

{txt}Effect size based on mean comparison

                               Obs per group:
                                     control =        680
                              Russia accuses =        671
{res}{col 1}{text}{hline 20}{c TT}{hline 12}{hline 12}{hline 12}
{col 1}{text}        Effect size{col 21}{c |}   Estimate{col 34}    [95% conf. interval]
{res}{col 1}{text}{hline 20}{c +}{hline 12}{hline 12}{hline 12}
{col 1}{text}          Cohen's {it:d}{col 21}{c |}{result}{space 2} .1234561{col 34}{space 3} .0166817{col 46}{space 3} .2301847
{col 1}{text}         Hedges's {it:g}{col 21}{c |}{result}{space 2} .1233874{col 34}{space 3} .0166725{col 46}{space 3} .2300567
{col 1}{text}{hline 20}{c BT}{hline 12}{hline 12}{hline 12}
{res}{txt}
{com}. 
. *Manuscript Tables and Figures 
. 
. *Figure 2. Cyber Threat Sensitivity by Treatment, Country (ATEs)
. 
. catcibar alphaperthreat alphagenthreat, over(cybertxt) by(usa)
{txt}
{com}. 
. *Note additional formatting requires the "Figure 2 Formatting.grec" file with the command graph play "Figure 2 Formatting.grec" 
. 
. *Table 1. Average Treatment Effects on Threat Sensitivity (OLS Regression)
. 
. reg alphaperthreat i.cybertxt##usa, robust

{txt}Linear regression                               Number of obs     = {res}     3,361
                                                {txt}F(5, 3355)        =  {res}     0.84
                                                {txt}Prob > F          = {res}    0.5179
                                                {txt}R-squared         = {res}    0.0013
                                                {txt}Root MSE          =    {res} .77368

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}   alphaperthreat{col 19}{c |} Coefficient{col 31}  std. err.{col 43}      t{col 51}   P>|t|{col 59}     [95% con{col 72}f. interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}cybertxt {c |}
{space 6}US accuses  {c |}{col 19}{res}{space 2} .0119981{col 31}{space 2} .0417461{col 42}{space 1}    0.29{col 51}{space 3}0.774{col 59}{space 4}-.0698522{col 72}{space 3} .0938484
{txt}{space 2}Russia accuses  {c |}{col 19}{res}{space 2} -.010224{col 31}{space 2} .0422573{col 42}{space 1}   -0.24{col 51}{space 3}0.809{col 59}{space 4}-.0930767{col 72}{space 3} .0726287
{txt}{space 17} {c |}
{space 12}1.usa {c |}{col 19}{res}{space 2}-.0570666{col 31}{space 2} .0480008{col 42}{space 1}   -1.19{col 51}{space 3}0.235{col 59}{space 4}-.1511803{col 72}{space 3} .0370471
{txt}{space 17} {c |}
{space 5}cybertxt#usa {c |}
{space 4}US accuses#1  {c |}{col 19}{res}{space 2} .0330335{col 31}{space 2} .0663622{col 42}{space 1}    0.50{col 51}{space 3}0.619{col 59}{space 4}-.0970809{col 72}{space 3} .1631478
{txt}Russia accuses#1  {c |}{col 19}{res}{space 2} .0014318{col 31}{space 2}  .067802{col 42}{space 1}    0.02{col 51}{space 3}0.983{col 59}{space 4}-.1315058{col 72}{space 3} .1343693
{txt}{space 17} {c |}
{space 12}_cons {c |}{col 19}{res}{space 2} 3.154412{col 31}{space 2} .0297232{col 42}{space 1}  106.13{col 51}{space 3}0.000{col 59}{space 4} 3.096134{col 72}{space 3} 3.212689
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. reg alphagenthreat i.cybertxt##usa, robust

{txt}Linear regression                               Number of obs     = {res}     3,361
                                                {txt}F(5, 3355)        =  {res}    74.91
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0942
                                                {txt}Root MSE          =    {res} .79873

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}   alphagenthreat{col 19}{c |} Coefficient{col 31}  std. err.{col 43}      t{col 51}   P>|t|{col 59}     [95% con{col 72}f. interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}cybertxt {c |}
{space 6}US accuses  {c |}{col 19}{res}{space 2} .0044797{col 31}{space 2} .0451729{col 42}{space 1}    0.10{col 51}{space 3}0.921{col 59}{space 4}-.0840894{col 72}{space 3} .0930489
{txt}{space 2}Russia accuses  {c |}{col 19}{res}{space 2} .0239612{col 31}{space 2} .0456059{col 42}{space 1}    0.53{col 51}{space 3}0.599{col 59}{space 4}-.0654571{col 72}{space 3} .1133794
{txt}{space 17} {c |}
{space 12}1.usa {c |}{col 19}{res}{space 2} .4686014{col 31}{space 2} .0489173{col 42}{space 1}    9.58{col 51}{space 3}0.000{col 59}{space 4} .3726906{col 72}{space 3} .5645123
{txt}{space 17} {c |}
{space 5}cybertxt#usa {c |}
{space 4}US accuses#1  {c |}{col 19}{res}{space 2}  .137591{col 31}{space 2} .0670177{col 42}{space 1}    2.05{col 51}{space 3}0.040{col 59}{space 4} .0061913{col 72}{space 3} .2689907
{txt}Russia accuses#1  {c |}{col 19}{res}{space 2} .0132361{col 31}{space 2} .0687411{col 42}{space 1}    0.19{col 51}{space 3}0.847{col 59}{space 4}-.1215425{col 72}{space 3} .1480148
{txt}{space 17} {c |}
{space 12}_cons {c |}{col 19}{res}{space 2} 2.730882{col 31}{space 2}  .032109{col 42}{space 1}   85.05{col 51}{space 3}0.000{col 59}{space 4} 2.667927{col 72}{space 3} 2.793837
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. reg revthreat i.cybertxt##usa, robust

{txt}Linear regression                               Number of obs     = {res}     3,361
                                                {txt}F(5, 3355)        =  {res}    71.26
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0912
                                                {txt}Root MSE          =    {res}  .9383

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}        revthreat{col 19}{c |} Coefficient{col 31}  std. err.{col 43}      t{col 51}   P>|t|{col 59}     [95% con{col 72}f. interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}cybertxt {c |}
{space 6}US accuses  {c |}{col 19}{res}{space 2} .0238127{col 31}{space 2} .0551107{col 42}{space 1}    0.43{col 51}{space 3}0.666{col 59}{space 4}-.0842412{col 72}{space 3} .1318665
{txt}{space 2}Russia accuses  {c |}{col 19}{res}{space 2} .0364929{col 31}{space 2} .0536772{col 42}{space 1}    0.68{col 51}{space 3}0.497{col 59}{space 4}-.0687505{col 72}{space 3} .1417364
{txt}{space 17} {c |}
{space 12}1.usa {c |}{col 19}{res}{space 2} .5921786{col 31}{space 2} .0554695{col 42}{space 1}   10.68{col 51}{space 3}0.000{col 59}{space 4}  .483421{col 72}{space 3} .7009361
{txt}{space 17} {c |}
{space 5}cybertxt#usa {c |}
{space 4}US accuses#1  {c |}{col 19}{res}{space 2} .0087978{col 31}{space 2} .0793425{col 42}{space 1}    0.11{col 51}{space 3}0.912{col 59}{space 4}-.1467667{col 72}{space 3} .1643623
{txt}Russia accuses#1  {c |}{col 19}{res}{space 2}  .023987{col 31}{space 2} .0776209{col 42}{space 1}    0.31{col 51}{space 3}0.757{col 59}{space 4}-.1282022{col 72}{space 3} .1761762
{txt}{space 17} {c |}
{space 12}_cons {c |}{col 19}{res}{space 2} 2.498529{col 31}{space 2} .0384952{col 42}{space 1}   64.90{col 51}{space 3}0.000{col 59}{space 4} 2.423053{col 72}{space 3} 2.574006
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. reg alphaperthreat i.cybertxt##usa  revthreat female i.agecat, robust

{txt}Linear regression                               Number of obs     = {res}     3,337
                                                {txt}F(9, 3327)        =  {res}    18.33
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0560
                                                {txt}Root MSE          =    {res} .75107

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}   alphaperthreat{col 19}{c |} Coefficient{col 31}  std. err.{col 43}      t{col 51}   P>|t|{col 59}     [95% con{col 72}f. interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}cybertxt {c |}
{space 6}US accuses  {c |}{col 19}{res}{space 2}  .007191{col 31}{space 2} .0414561{col 42}{space 1}    0.17{col 51}{space 3}0.862{col 59}{space 4} -.074091{col 72}{space 3} .0884731
{txt}{space 2}Russia accuses  {c |}{col 19}{res}{space 2}-.0192725{col 31}{space 2} .0417136{col 42}{space 1}   -0.46{col 51}{space 3}0.644{col 59}{space 4}-.1010595{col 72}{space 3} .0625144
{txt}{space 17} {c |}
{space 12}1.usa {c |}{col 19}{res}{space 2}-.1581663{col 31}{space 2} .0480482{col 42}{space 1}   -3.29{col 51}{space 3}0.001{col 59}{space 4}-.2523734{col 72}{space 3}-.0639593
{txt}{space 17} {c |}
{space 5}cybertxt#usa {c |}
{space 4}US accuses#1  {c |}{col 19}{res}{space 2}  .037231{col 31}{space 2} .0641464{col 42}{space 1}    0.58{col 51}{space 3}0.562{col 59}{space 4}-.0885395{col 72}{space 3} .1630015
{txt}Russia accuses#1  {c |}{col 19}{res}{space 2} .0082609{col 31}{space 2} .0653991{col 42}{space 1}    0.13{col 51}{space 3}0.899{col 59}{space 4}-.1199657{col 72}{space 3} .1364875
{txt}{space 17} {c |}
{space 8}revthreat {c |}{col 19}{res}{space 2} .1865871{col 31}{space 2} .0162249{col 42}{space 1}   11.50{col 51}{space 3}0.000{col 59}{space 4} .1547753{col 72}{space 3} .2183988
{txt}{space 11}female {c |}{col 19}{res}{space 2} .1350156{col 31}{space 2} .0273256{col 42}{space 1}    4.94{col 51}{space 3}0.000{col 59}{space 4}  .081439{col 72}{space 3} .1885922
{txt}{space 17} {c |}
{space 11}agecat {c |}
{space 15}2  {c |}{col 19}{res}{space 2}-.0548017{col 31}{space 2} .0342483{col 42}{space 1}   -1.60{col 51}{space 3}0.110{col 59}{space 4}-.1219515{col 72}{space 3}  .012348
{txt}{space 15}3  {c |}{col 19}{res}{space 2}-.0064524{col 31}{space 2} .0340209{col 42}{space 1}   -0.19{col 51}{space 3}0.850{col 59}{space 4}-.0731565{col 72}{space 3} .0602516
{txt}{space 17} {c |}
{space 12}_cons {c |}{col 19}{res}{space 2} 2.623753{col 31}{space 2} .0552012{col 42}{space 1}   47.53{col 51}{space 3}0.000{col 59}{space 4} 2.515522{col 72}{space 3} 2.731985
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. reg alphagenthreat i.cybertxt##usa alphaperthreat revthreat female i.agecat, robust

{txt}Linear regression                               Number of obs     = {res}     3,337
                                                {txt}F(10, 3326)       =  {res}   505.44
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.5254
                                                {txt}Root MSE          =    {res} .57826

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}   alphagenthreat{col 19}{c |} Coefficient{col 31}  std. err.{col 43}      t{col 51}   P>|t|{col 59}     [95% con{col 72}f. interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}cybertxt {c |}
{space 6}US accuses  {c |}{col 19}{res}{space 2}-.0081298{col 31}{space 2} .0351935{col 42}{space 1}   -0.23{col 51}{space 3}0.817{col 59}{space 4} -.077133{col 72}{space 3} .0608734
{txt}{space 2}Russia accuses  {c |}{col 19}{res}{space 2}  .022493{col 31}{space 2} .0353102{col 42}{space 1}    0.64{col 51}{space 3}0.524{col 59}{space 4}-.0467389{col 72}{space 3} .0917249
{txt}{space 17} {c |}
{space 12}1.usa {c |}{col 19}{res}{space 2} .3846815{col 31}{space 2} .0335759{col 42}{space 1}   11.46{col 51}{space 3}0.000{col 59}{space 4}   .31885{col 72}{space 3}  .450513
{txt}{space 17} {c |}
{space 5}cybertxt#usa {c |}
{space 4}US accuses#1  {c |}{col 19}{res}{space 2} .1142756{col 31}{space 2} .0463666{col 42}{space 1}    2.46{col 51}{space 3}0.014{col 59}{space 4} .0233656{col 72}{space 3} .2051857
{txt}Russia accuses#1  {c |}{col 19}{res}{space 2} .0059761{col 31}{space 2} .0468124{col 42}{space 1}    0.13{col 51}{space 3}0.898{col 59}{space 4}-.0858079{col 72}{space 3} .0977601
{txt}{space 17} {c |}
{space 3}alphaperthreat {c |}{col 19}{res}{space 2} .6438939{col 31}{space 2} .0144051{col 42}{space 1}   44.70{col 51}{space 3}0.000{col 59}{space 4} .6156502{col 72}{space 3} .6721375
{txt}{space 8}revthreat {c |}{col 19}{res}{space 2} .1290527{col 31}{space 2} .0126441{col 42}{space 1}   10.21{col 51}{space 3}0.000{col 59}{space 4} .1042616{col 72}{space 3} .1538437
{txt}{space 11}female {c |}{col 19}{res}{space 2}-.0234679{col 31}{space 2} .0207249{col 42}{space 1}   -1.13{col 51}{space 3}0.258{col 59}{space 4}-.0641027{col 72}{space 3}  .017167
{txt}{space 17} {c |}
{space 11}agecat {c |}
{space 15}2  {c |}{col 19}{res}{space 2} .0091121{col 31}{space 2}  .027213{col 42}{space 1}    0.33{col 51}{space 3}0.738{col 59}{space 4}-.0442439{col 72}{space 3}  .062468
{txt}{space 15}3  {c |}{col 19}{res}{space 2}   .17622{col 31}{space 2} .0276644{col 42}{space 1}    6.37{col 51}{space 3}0.000{col 59}{space 4} .1219791{col 72}{space 3} .2304609
{txt}{space 17} {c |}
{space 12}_cons {c |}{col 19}{res}{space 2} .3438798{col 31}{space 2} .0538297{col 42}{space 1}    6.39{col 51}{space 3}0.000{col 59}{space 4}  .238337{col 72}{space 3} .4494226
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. *Figure 3. Cyber Response Options by Treatment, Country
. 
. catcibar alphadefense alphaoffense, over(cybertxt) by(usa)
{txt}
{com}. 
. *Note additional formatting requires the "Figure 3 Formatting.grec" file with the command graph play "Figure 3 Formatting.grec" 
. 
. *Table 2. Average Treatment Effects on Cyber Response (OLS Regression)
. 
. reg alphaoffense i.cybertxt##usa, robust

{txt}Linear regression                               Number of obs     = {res}     3,361
                                                {txt}F(5, 3355)        =  {res}    14.51
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0199
                                                {txt}Root MSE          =    {res}  .8007

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}     alphaoffense{col 19}{c |} Coefficient{col 31}  std. err.{col 43}      t{col 51}   P>|t|{col 59}     [95% con{col 72}f. interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}cybertxt {c |}
{space 6}US accuses  {c |}{col 19}{res}{space 2}-.1107216{col 31}{space 2} .0462388{col 42}{space 1}   -2.39{col 51}{space 3}0.017{col 59}{space 4}-.2013807{col 72}{space 3}-.0200626
{txt}{space 2}Russia accuses  {c |}{col 19}{res}{space 2} -.085159{col 31}{space 2} .0459739{col 42}{space 1}   -1.85{col 51}{space 3}0.064{col 59}{space 4}-.1752987{col 72}{space 3} .0049808
{txt}{space 17} {c |}
{space 12}1.usa {c |}{col 19}{res}{space 2} .0865299{col 31}{space 2} .0480175{col 42}{space 1}    1.80{col 51}{space 3}0.072{col 59}{space 4}-.0076166{col 72}{space 3} .1806764
{txt}{space 17} {c |}
{space 5}cybertxt#usa {c |}
{space 4}US accuses#1  {c |}{col 19}{res}{space 2} .1654099{col 31}{space 2} .0676979{col 42}{space 1}    2.44{col 51}{space 3}0.015{col 59}{space 4} .0326767{col 72}{space 3} .2981432
{txt}Russia accuses#1  {c |}{col 19}{res}{space 2} .2061003{col 31}{space 2} .0669526{col 42}{space 1}    3.08{col 51}{space 3}0.002{col 59}{space 4} .0748283{col 72}{space 3} .3373723
{txt}{space 17} {c |}
{space 12}_cons {c |}{col 19}{res}{space 2}    2.725{col 31}{space 2} .0323676{col 42}{space 1}   84.19{col 51}{space 3}0.000{col 59}{space 4} 2.661538{col 72}{space 3} 2.788462
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. reg alphagenthreat i.cybertxt##usa, robust

{txt}Linear regression                               Number of obs     = {res}     3,361
                                                {txt}F(5, 3355)        =  {res}    74.91
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0942
                                                {txt}Root MSE          =    {res} .79873

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}   alphagenthreat{col 19}{c |} Coefficient{col 31}  std. err.{col 43}      t{col 51}   P>|t|{col 59}     [95% con{col 72}f. interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}cybertxt {c |}
{space 6}US accuses  {c |}{col 19}{res}{space 2} .0044797{col 31}{space 2} .0451729{col 42}{space 1}    0.10{col 51}{space 3}0.921{col 59}{space 4}-.0840894{col 72}{space 3} .0930489
{txt}{space 2}Russia accuses  {c |}{col 19}{res}{space 2} .0239612{col 31}{space 2} .0456059{col 42}{space 1}    0.53{col 51}{space 3}0.599{col 59}{space 4}-.0654571{col 72}{space 3} .1133794
{txt}{space 17} {c |}
{space 12}1.usa {c |}{col 19}{res}{space 2} .4686014{col 31}{space 2} .0489173{col 42}{space 1}    9.58{col 51}{space 3}0.000{col 59}{space 4} .3726906{col 72}{space 3} .5645123
{txt}{space 17} {c |}
{space 5}cybertxt#usa {c |}
{space 4}US accuses#1  {c |}{col 19}{res}{space 2}  .137591{col 31}{space 2} .0670177{col 42}{space 1}    2.05{col 51}{space 3}0.040{col 59}{space 4} .0061913{col 72}{space 3} .2689907
{txt}Russia accuses#1  {c |}{col 19}{res}{space 2} .0132361{col 31}{space 2} .0687411{col 42}{space 1}    0.19{col 51}{space 3}0.847{col 59}{space 4}-.1215425{col 72}{space 3} .1480148
{txt}{space 17} {c |}
{space 12}_cons {c |}{col 19}{res}{space 2} 2.730882{col 31}{space 2}  .032109{col 42}{space 1}   85.05{col 51}{space 3}0.000{col 59}{space 4} 2.667927{col 72}{space 3} 2.793837
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. reg revoffensejust i.cybertxt##usa, robust

{txt}Linear regression                               Number of obs     = {res}     3,359
                                                {txt}F(5, 3353)        =  {res}     3.24
                                                {txt}Prob > F          = {res}    0.0064
                                                {txt}R-squared         = {res}    0.0049
                                                {txt}Root MSE          =    {res} .94056

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}   revoffensejust{col 19}{c |} Coefficient{col 31}  std. err.{col 43}      t{col 51}   P>|t|{col 59}     [95% con{col 72}f. interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}cybertxt {c |}
{space 6}US accuses  {c |}{col 19}{res}{space 2}-.0893252{col 31}{space 2}  .052076{col 42}{space 1}   -1.72{col 51}{space 3}0.086{col 59}{space 4}-.1914292{col 72}{space 3} .0127788
{txt}{space 2}Russia accuses  {c |}{col 19}{res}{space 2} -.045803{col 31}{space 2} .0512956{col 42}{space 1}   -0.89{col 51}{space 3}0.372{col 59}{space 4}-.1463769{col 72}{space 3} .0547709
{txt}{space 17} {c |}
{space 12}1.usa {c |}{col 19}{res}{space 2} .0015359{col 31}{space 2} .0552911{col 42}{space 1}    0.03{col 51}{space 3}0.978{col 59}{space 4}-.1068718{col 72}{space 3} .1099436
{txt}{space 17} {c |}
{space 5}cybertxt#usa {c |}
{space 4}US accuses#1  {c |}{col 19}{res}{space 2} .1638444{col 31}{space 2} .0802102{col 42}{space 1}    2.04{col 51}{space 3}0.041{col 59}{space 4} .0065785{col 72}{space 3} .3211103
{txt}Russia accuses#1  {c |}{col 19}{res}{space 2} .1526809{col 31}{space 2} .0796006{col 42}{space 1}    1.92{col 51}{space 3}0.055{col 59}{space 4}-.0033899{col 72}{space 3} .3087516
{txt}{space 17} {c |}
{space 12}_cons {c |}{col 19}{res}{space 2} 2.807353{col 31}{space 2} .0351955{col 42}{space 1}   79.76{col 51}{space 3}0.000{col 59}{space 4} 2.738346{col 72}{space 3}  2.87636
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. reg alphaoffense i.cybertxt##usa  alphagenthreat revthreat revoffensejust  female i.agecat, robust

{txt}Linear regression                               Number of obs     = {res}     3,333
                                                {txt}F(11, 3321)       =  {res}   248.07
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.4741
                                                {txt}Root MSE          =    {res} .58624

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}     alphaoffense{col 19}{c |} Coefficient{col 31}  std. err.{col 43}      t{col 51}   P>|t|{col 59}     [95% con{col 72}f. interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}cybertxt {c |}
{space 6}US accuses  {c |}{col 19}{res}{space 2}-.0749945{col 31}{space 2} .0340312{col 42}{space 1}   -2.20{col 51}{space 3}0.028{col 59}{space 4}-.1417187{col 72}{space 3}-.0082703
{txt}{space 2}Russia accuses  {c |}{col 19}{res}{space 2}-.0727484{col 31}{space 2} .0334426{col 42}{space 1}   -2.18{col 51}{space 3}0.030{col 59}{space 4}-.1383186{col 72}{space 3}-.0071781
{txt}{space 17} {c |}
{space 12}1.usa {c |}{col 19}{res}{space 2}-.0490661{col 31}{space 2} .0356687{col 42}{space 1}   -1.38{col 51}{space 3}0.169{col 59}{space 4} -.119001{col 72}{space 3} .0208689
{txt}{space 17} {c |}
{space 5}cybertxt#usa {c |}
{space 4}US accuses#1  {c |}{col 19}{res}{space 2} .0647661{col 31}{space 2} .0498142{col 42}{space 1}    1.30{col 51}{space 3}0.194{col 59}{space 4}-.0329036{col 72}{space 3} .1624358
{txt}Russia accuses#1  {c |}{col 19}{res}{space 2} .1287458{col 31}{space 2} .0485362{col 42}{space 1}    2.65{col 51}{space 3}0.008{col 59}{space 4}  .033582{col 72}{space 3} .2239097
{txt}{space 17} {c |}
{space 3}alphagenthreat {c |}{col 19}{res}{space 2} .1123299{col 31}{space 2}  .015582{col 42}{space 1}    7.21{col 51}{space 3}0.000{col 59}{space 4} .0817785{col 72}{space 3} .1428813
{txt}{space 8}revthreat {c |}{col 19}{res}{space 2} .1643209{col 31}{space 2} .0146815{col 42}{space 1}   11.19{col 51}{space 3}0.000{col 59}{space 4} .1355351{col 72}{space 3} .1931067
{txt}{space 3}revoffensejust {c |}{col 19}{res}{space 2} .4406413{col 31}{space 2} .0141545{col 42}{space 1}   31.13{col 51}{space 3}0.000{col 59}{space 4}  .412889{col 72}{space 3} .4683937
{txt}{space 11}female {c |}{col 19}{res}{space 2}-.0298196{col 31}{space 2} .0211826{col 42}{space 1}   -1.41{col 51}{space 3}0.159{col 59}{space 4}-.0713518{col 72}{space 3} .0117126
{txt}{space 17} {c |}
{space 11}agecat {c |}
{space 15}2  {c |}{col 19}{res}{space 2} .0566821{col 31}{space 2} .0269888{col 42}{space 1}    2.10{col 51}{space 3}0.036{col 59}{space 4} .0037657{col 72}{space 3} .1095986
{txt}{space 15}3  {c |}{col 19}{res}{space 2}-.0250864{col 31}{space 2} .0274461{col 42}{space 1}   -0.91{col 51}{space 3}0.361{col 59}{space 4}-.0788995{col 72}{space 3} .0287266
{txt}{space 17} {c |}
{space 12}_cons {c |}{col 19}{res}{space 2} .7759976{col 31}{space 2} .0539821{col 42}{space 1}   14.38{col 51}{space 3}0.000{col 59}{space 4}  .670156{col 72}{space 3} .8818391
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. *Appendix Replication
.  
. *Appendix Table 1. Summary of Variables and Demographics (United States)
. 
. sum i.cybertxt alphaperthreat revcyber_email revcyber_files revcyber_banking revcyber_health alphagenthreat revcyber_business revcyber_govmil revcyber_elections revcyber_infrastructure revthreat revenemy revdefensejust revoffensejust female i.agecat education i.partyid i.race dlatino devangelical i.census_region if usa==1

{txt}    Variable {c |}        Obs        Mean    Std. dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 4}cybertxt {c |}
{space 4}control  {c |}{res}      1,366    .3308931     .470707          0          1
{txt}{space 1}US accuses  {c |}{res}      1,366    .3286969    .4699116          0          1
{txt}Russia ac..  {c |}{res}      1,366      .34041    .4740206          0          1
{txt}{space 12} {c |}
alphaperth~t {c |}{res}      1,361    3.109111    .7832915          1          4
{txt}revcyber_~ls {c |}{res}      1,358    3.075847    .8975475          1          4
{txt}{hline 13}{c +}{hline 57}
revcyber_f~s {c |}{res}      1,360    3.122794    .8808708          1          4
{txt}revcyber_b~g {c |}{res}      1,361    3.216752    .8824507          1          4
{txt}revcyber_h~h {c |}{res}      1,361    3.023512    .9055578          1          4
{txt}alphagenth~t {c |}{res}      1,361    3.258695    .7541456          1          4
{txt}revcyber_b~s {c |}{res}      1,360    3.209559    .8660363          1          4
{txt}{hline 13}{c +}{hline 57}
revcyber_g~l {c |}{res}      1,361    3.279206    .8642838          1          4
{txt}revcyber_~ns {c |}{res}      1,358    3.239323    .8691979          1          4
{txt}revcyber_i~e {c |}{res}      1,358    3.308542    .8496915          1          4
{txt}{space 3}revthreat {c |}{res}      1,361    3.121969    .8522259          1          4
{txt}{space 4}revenemy {c |}{res}      1,359    3.006623    .8746724          1          4
{txt}{hline 13}{c +}{hline 57}
revdefense~t {c |}{res}      1,360    3.305147    .8274023          1          4
{txt}revoffense~t {c |}{res}      1,359    2.869757    .9210143          1          4
{txt}{space 6}female {c |}{res}      1,366    .5212299     .499732          0          1
{txt}{space 12} {c |}
{space 6}agecat {c |}
{space 10}1  {c |}{res}      1,343    .1861504     .389373          0          1
{txt}{space 10}2  {c |}{res}      1,343    .2889054    .4534227          0          1
{txt}{hline 13}{c +}{hline 57}
{space 10}3  {c |}{res}      1,343    .5249442    .4995634          0          1
{txt}{space 12} {c |}
{space 3}education {c |}{res}      1,364    3.156891     1.09304          1          5
{txt}{space 12} {c |}
{space 5}partyid {c |}
{space 3}Democrat  {c |}{res}      1,366    .4363104    .4961087          0          1
{txt}{space 1}Republican  {c |}{res}      1,366    .3235725    .4680103          0          1
{txt}Independent  {c |}{res}      1,366     .204246    .4032972          0          1
{txt}{hline 13}{c +}{hline 57}
{space 6}Other  {c |}{res}      1,366    .0051245    .0714278          0          1
{txt}{space 5}Unsure  {c |}{res}      1,366    .0307467    .1726939          0          1
{txt}{space 12} {c |}
{space 8}race {c |}
African-A~n  {c |}{res}      1,366    .1193265     .324291          0          1
{txt}{space 6}White  {c |}{res}      1,366    .7752562    .4175663          0          1
{txt}Native Am..  {c |}{res}      1,366    .0168375    .1287094          0          1
{txt}{hline 13}{c +}{hline 57}
{space 6}Asian  {c |}{res}      1,366    .0512445    .2205768          0          1
{txt}Multiple ..  {c |}{res}      1,366    .0234261    .1513078          0          1
{txt}{space 5}Unsure  {c |}{res}      1,366    .0139092    .1171572          0          1
{txt}{space 12} {c |}
{space 5}dlatino {c |}{res}      1,366    .1193265     .324291          0          1
{txt}devangelical {c |}{res}      1,366    .3374817    .4730239          0          1
{txt}{hline 13}{c +}{hline 57}
{space 12} {c |}
census_reg~n {c |}
{space 2}Northeast  {c |}{res}      1,366    .1442167     .351438          0          1
{txt}{space 4}Midwest  {c |}{res}      1,366      .22694    .4190069          0          1
{txt}{space 6}South  {c |}{res}      1,366    .4480234    .4974732          0          1
{txt}{space 7}West  {c |}{res}      1,366    .1808199    .3850099          0          1
{txt}
{com}. 
. *Appendix Table 2. Summary of Variables and Demographics (Russia)
. 
. sum i.cybertxt alphaperthreat revcyber_email revcyber_files revcyber_banking revcyber_health alphagenthreat revcyber_business revcyber_govmil revcyber_elections revcyber_infrastructure revthreat revenemy revdefensejust revoffensejust female i.agecat i.strata i.region if russia==1

{txt}    Variable {c |}        Obs        Mean    Std. dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 4}cybertxt {c |}
{space 4}control  {c |}{res}      2,000         .34    .4738272          0          1
{txt}{space 1}US accuses  {c |}{res}      2,000       .3245    .4683048          0          1
{txt}Russia ac..  {c |}{res}      2,000       .3355     .472283          0          1
{txt}{space 12} {c |}
alphaperth~t {c |}{res}      2,000    3.154875    .7665842          1          4
{txt}revcyber_~ls {c |}{res}      2,000       3.184    .8997493          1          4
{txt}{hline 13}{c +}{hline 57}
revcyber_f~s {c |}{res}      2,000      3.2015    .9106659          1          4
{txt}revcyber_b~g {c |}{res}      2,000      3.4275    .8741429          1          4
{txt}revcyber_h~h {c |}{res}      2,000      2.8065    .9967721          1          4
{txt}alphagenth~t {c |}{res}      2,000    2.740375     .828459          1          4
{txt}revcyber_b~s {c |}{res}      2,000      2.5865    1.002507          1          4
{txt}{hline 13}{c +}{hline 57}
revcyber_g~l {c |}{res}      2,000       2.867    1.020702          1          4
{txt}revcyber_~ns {c |}{res}      2,000      2.5775    1.031274          1          4
{txt}revcyber_i~e {c |}{res}      2,000      2.9305    .9721843          1          4
{txt}{space 3}revthreat {c |}{res}      2,000      2.5185    .9920433          1          4
{txt}{space 4}revenemy {c |}{res}      2,000       2.368    1.001538          1          4
{txt}{hline 13}{c +}{hline 57}
revdefense~t {c |}{res}      2,000      3.3675    .7776542          1          4
{txt}revoffense~t {c |}{res}      2,000       2.763    .9540892          1          4
{txt}{space 6}female {c |}{res}      2,000       .6385    .4805551          0          1
{txt}{space 12} {c |}
{space 6}agecat {c |}
{space 10}1  {c |}{res}      2,000        .384    .4864795          0          1
{txt}{space 10}2  {c |}{res}      2,000       .3495    .4769313          0          1
{txt}{hline 13}{c +}{hline 57}
{space 10}3  {c |}{res}      2,000       .2665    .4422392          0          1
{txt}{space 12} {c |}
{space 6}strata {c |}
{space 5}Москва  {c |}{res}      2,000       .1615    .3680835          0          1
{txt}{space 8}СПб  {c |}{res}      2,000       .0645    .2457029          0          1
{txt}{space 4}Друг�..  {c |}{res}      2,000       .2165    .4119619          0          1
{txt}Города 500+  {c |}{res}      2,000       .1735    .3787737          0          1
{txt}{hline 13}{c +}{hline 57}
Города 100+  {c |}{res}      2,000        .384    .4864795          0          1
{txt}{space 12} {c |}
{space 6}region {c |}
{space 8}ЦФО  {c |}{res}      2,000        .308     .461782          0          1
{txt}{space 7}СЗФО  {c |}{res}      2,000       .1015    .3020652          0          1
{txt}{space 3}ЮФО+СКФО  {c |}{res}      2,000       .1105    .3135904          0          1
{txt}{space 8}ПФО  {c |}{res}      2,000       .1605    .3671609          0          1
{txt}{hline 13}{c +}{hline 57}
{space 8}УФО  {c |}{res}      2,000       .0585    .2347452          0          1
{txt}{space 8}СФО  {c |}{res}      2,000        .121    .3262088          0          1
{txt}{space 7}ДВФО  {c |}{res}      2,000         .14    .3470738          0          1
{txt}
{com}. 
. *Threat Sensitivity Index Construction and Validation
. 
. catcibar revcyber_emails- revcyber_infrastructure, over(usa)
{txt}
{com}. 
. *Note additional formatting requires the "Cyber threat options formatting.grec" file with the command graph play "Cyber threat options formatting.grec" 
. 
. *Factor Analysis of Personal Threat Sensitivity (United States)
. 
. factor revcyber_emails- revcyber_health if usa==1
{txt}(obs=1,357)

Factor analysis/correlation{col 50}Number of obs    = {res}     1,357
{col 5}{txt}Method: principal factors{col 50}Retained factors =   {res}       1
{col 5}{txt}Rotation: (unrotated){col 50}Number of params =   {res}       4

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}     Factor  {c |} {ralign 12:Eigenvalue}   Difference        Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 11:Factor1}  {c |}{res}      2.68510      2.73522            1.1051       1.1051
{txt}{col 5}{ralign 11:Factor2}  {c |}{res}     -0.05012      0.03940           -0.0206       1.0845
{txt}{col 5}{ralign 11:Factor3}  {c |}{res}     -0.08952      0.02617           -0.0368       1.0476
{txt}{col 5}{ralign 11:Factor4}  {c |}{res}     -0.11570            .           -0.0476       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}
{col 5}LR test: independent vs. saturated:  chi2({res}6{txt})  ={res} 3301.63{txt} Prob>chi2 ={res} 0.0000

{txt}Factor loadings (pattern matrix) and unique variances

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 14}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Factor1}{space 1}{c |}{space 1}{ralign 12:Uniqueness}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 14}
{space 4}{space 0}{ralign 12:revcyber_~ls}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.8098}}}{space 1}{c |}{space 1}{center 12:{res:{sf:    0.3442}}}{space 1}
{space 4}{space 0}{ralign 12:revcyber_f~s}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.8517}}}{space 1}{c |}{space 1}{center 12:{res:{sf:    0.2746}}}{space 1}
{space 4}{space 0}{ralign 12:revcyber_b~g}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.8085}}}{space 1}{c |}{space 1}{center 12:{res:{sf:    0.3463}}}{space 1}
{space 4}{space 0}{ralign 12:revcyber_h~h}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.8063}}}{space 1}{c |}{space 1}{center 12:{res:{sf:    0.3498}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 14}

{com}. alpha revcyber_emails- revcyber_health if usa==1

{txt}Test scale = mean(unstandardized items)

Average interitem covariance:{col 34}{res} .5499379
{txt}Number of items in the scale:{col 34}{res}        4
{txt}Scale reliability coefficient:{col 34}{res}   0.8997
{txt}
{com}. 
. *Factor Analysis of Personal Threat Sensitivity (Russia)
. 
. factor revcyber_emails- revcyber_health if russia==1
{txt}(obs=2,000)

Factor analysis/correlation{col 50}Number of obs    = {res}     2,000
{col 5}{txt}Method: principal factors{col 50}Retained factors =   {res}       1
{col 5}{txt}Rotation: (unrotated){col 50}Number of params =   {res}       4

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}     Factor  {c |} {ralign 12:Eigenvalue}   Difference        Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 11:Factor1}  {c |}{res}      2.31431      2.35883            1.1369       1.1369
{txt}{col 5}{ralign 11:Factor2}  {c |}{res}     -0.04452      0.05213           -0.0219       1.1150
{txt}{col 5}{ralign 11:Factor3}  {c |}{res}     -0.09665      0.04088           -0.0475       1.0676
{txt}{col 5}{ralign 11:Factor4}  {c |}{res}     -0.13753            .           -0.0676       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}
{col 5}LR test: independent vs. saturated:  chi2({res}6{txt})  ={res} 3652.34{txt} Prob>chi2 ={res} 0.0000

{txt}Factor loadings (pattern matrix) and unique variances

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 14}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Factor1}{space 1}{c |}{space 1}{ralign 12:Uniqueness}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 14}
{space 4}{space 0}{ralign 12:revcyber_~ls}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.8157}}}{space 1}{c |}{space 1}{center 12:{res:{sf:    0.3346}}}{space 1}
{space 4}{space 0}{ralign 12:revcyber_f~s}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.8393}}}{space 1}{c |}{space 1}{center 12:{res:{sf:    0.2956}}}{space 1}
{space 4}{space 0}{ralign 12:revcyber_b~g}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.7219}}}{space 1}{c |}{space 1}{center 12:{res:{sf:    0.4789}}}{space 1}
{space 4}{space 0}{ralign 12:revcyber_h~h}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.6507}}}{space 1}{c |}{space 1}{center 12:{res:{sf:    0.5766}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 14}

{com}. alpha revcyber_emails- revcyber_health  if russia==1

{txt}Test scale = mean(unstandardized items)

Average interitem covariance:{col 34}{res}   .50049
{txt}Number of items in the scale:{col 34}{res}        4
{txt}Scale reliability coefficient:{col 34}{res}   0.8517
{txt}
{com}. 
. *Factor Analysis of National Threat Sensitivity (United States)
. 
. factor revcyber_business- revcyber_infrastructure if usa==1
{txt}(obs=1,356)

Factor analysis/correlation{col 50}Number of obs    = {res}     1,356
{col 5}{txt}Method: principal factors{col 50}Retained factors =   {res}       1
{col 5}{txt}Rotation: (unrotated){col 50}Number of params =   {res}       4

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}     Factor  {c |} {ralign 12:Eigenvalue}   Difference        Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 11:Factor1}  {c |}{res}      2.64499      2.71193            1.1118       1.1118
{txt}{col 5}{ralign 11:Factor2}  {c |}{res}     -0.06694      0.02424           -0.0281       1.0836
{txt}{col 5}{ralign 11:Factor3}  {c |}{res}     -0.09119      0.01662           -0.0383       1.0453
{txt}{col 5}{ralign 11:Factor4}  {c |}{res}     -0.10780            .           -0.0453       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}
{col 5}LR test: independent vs. saturated:  chi2({res}6{txt})  ={res} 3188.47{txt} Prob>chi2 ={res} 0.0000

{txt}Factor loadings (pattern matrix) and unique variances

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 14}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Factor1}{space 1}{c |}{space 1}{ralign 12:Uniqueness}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 14}
{space 4}{space 0}{ralign 12:revcyber_b~s}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.8055}}}{space 1}{c |}{space 1}{center 12:{res:{sf:    0.3512}}}{space 1}
{space 4}{space 0}{ralign 12:revcyber_g~l}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.8339}}}{space 1}{c |}{space 1}{center 12:{res:{sf:    0.3046}}}{space 1}
{space 4}{space 0}{ralign 12:revcyber_~ns}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.7761}}}{space 1}{c |}{space 1}{center 12:{res:{sf:    0.3977}}}{space 1}
{space 4}{space 0}{ralign 12:revcyber_i~e}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.8358}}}{space 1}{c |}{space 1}{center 12:{res:{sf:    0.3015}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 14}

{com}. alpha revcyber_business- revcyber_infrastructure if usa==1

{txt}Test scale = mean(unstandardized items)

Average interitem covariance:{col 34}{res} .5074002
{txt}Number of items in the scale:{col 34}{res}        4
{txt}Scale reliability coefficient:{col 34}{res}   0.8957
{txt}
{com}. 
. *Factor Analysis of National Threat Sensitivity (Russia)
. 
. factor revcyber_business- revcyber_infrastructure if russia==1
{txt}(obs=2,000)

Factor analysis/correlation{col 50}Number of obs    = {res}     2,000
{col 5}{txt}Method: principal factors{col 50}Retained factors =   {res}       1
{col 5}{txt}Rotation: (unrotated){col 50}Number of params =   {res}       4

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}     Factor  {c |} {ralign 12:Eigenvalue}   Difference        Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 11:Factor1}  {c |}{res}      2.17683      2.20480            1.1694       1.1694
{txt}{col 5}{ralign 11:Factor2}  {c |}{res}     -0.02797      0.10351           -0.0150       1.1544
{txt}{col 5}{ralign 11:Factor3}  {c |}{res}     -0.13149      0.02443           -0.0706       1.0838
{txt}{col 5}{ralign 11:Factor4}  {c |}{res}     -0.15592            .           -0.0838       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}
{col 5}LR test: independent vs. saturated:  chi2({res}6{txt})  ={res} 3136.45{txt} Prob>chi2 ={res} 0.0000

{txt}Factor loadings (pattern matrix) and unique variances

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 14}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Factor1}{space 1}{c |}{space 1}{ralign 12:Uniqueness}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 14}
{space 4}{space 0}{ralign 12:revcyber_b~s}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.7055}}}{space 1}{c |}{space 1}{center 12:{res:{sf:    0.5023}}}{space 1}
{space 4}{space 0}{ralign 12:revcyber_g~l}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.7740}}}{space 1}{c |}{space 1}{center 12:{res:{sf:    0.4010}}}{space 1}
{space 4}{space 0}{ralign 12:revcyber_~ns}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.7234}}}{space 1}{c |}{space 1}{center 12:{res:{sf:    0.4767}}}{space 1}
{space 4}{space 0}{ralign 12:revcyber_i~e}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.7462}}}{space 1}{c |}{space 1}{center 12:{res:{sf:    0.4433}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 14}

{com}. alpha revcyber_business- revcyber_infrastructure  if russia==1

{txt}Test scale = mean(unstandardized items)

Average interitem covariance:{col 34}{res} .5771657
{txt}Number of items in the scale:{col 34}{res}        4
{txt}Scale reliability coefficient:{col 34}{res}   0.8409
{txt}
{com}. 
. *Appendix Table 3. Balance Tests Across Treatment Groups (United States)
. 
. iebaltab partyid female age education race dlatino dbornusa devangelical census_region, groupvar(cybertxt) control(0) savexlsx(usa)

{res}{phang}Balance table saved in Excel format to: {browse "usa.xlsx":usa.xlsx}{p_end}
{txt}
{com}. 
. *Appendix Table 4. Balance Tests Across Treatment Groups (Russia)
. 
. iebaltab female agecat strata region if russia==1, groupvar(cybertxt) control(0) savexlsx(russia)

{res}{phang}Balance table saved in Excel format to: {browse "russia.xlsx":russia.xlsx}{p_end}
{txt}
{com}. 
. *Manuscript Table 1 Robustness Checks (United States, Extended Controls)
. 
. reg alphaperthreat i.cybertxt if usa==1, robust

{txt}Linear regression                               Number of obs     = {res}     1,361
                                                {txt}F(2, 1358)        =  {res}     0.64
                                                {txt}Prob > F          = {res}    0.5258
                                                {txt}R-squared         = {res}    0.0009
                                                {txt}Root MSE          =    {res} .78351

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1} alphaperthreat{col 17}{c |} Coefficient{col 29}  std. err.{col 41}      t{col 49}   P>|t|{col 57}     [95% con{col 70}f. interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}cybertxt {c |}
{space 4}US accuses  {c |}{col 17}{res}{space 2} .0450315{col 29}{space 2} .0515977{col 40}{space 1}    0.87{col 49}{space 3}0.383{col 57}{space 4}-.0561882{col 70}{space 3} .1462513
{txt}Russia accuses  {c |}{col 17}{res}{space 2}-.0087922{col 29}{space 2} .0530341{col 40}{space 1}   -0.17{col 49}{space 3}0.868{col 57}{space 4}-.1128299{col 70}{space 3} .0952455
{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2} 3.097345{col 29}{space 2} .0376988{col 40}{space 1}   82.16{col 49}{space 3}0.000{col 57}{space 4} 3.023391{col 70}{space 3} 3.171299
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. reg alphagenthreat i.cybertxt if usa==1, robust

{txt}Linear regression                               Number of obs     = {res}     1,361
                                                {txt}F(2, 1358)        =  {res}     4.58
                                                {txt}Prob > F          = {res}    0.0104
                                                {txt}R-squared         = {res}    0.0063
                                                {txt}Root MSE          =    {res} .75232

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1} alphagenthreat{col 17}{c |} Coefficient{col 29}  std. err.{col 41}      t{col 49}   P>|t|{col 57}     [95% con{col 70}f. interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}cybertxt {c |}
{space 4}US accuses  {c |}{col 17}{res}{space 2} .1420708{col 29}{space 2} .0495158{col 40}{space 1}    2.87{col 49}{space 3}0.004{col 57}{space 4}  .044935{col 70}{space 3} .2392066
{txt}Russia accuses  {c |}{col 17}{res}{space 2} .0371973{col 29}{space 2} .0514446{col 40}{space 1}    0.72{col 49}{space 3}0.470{col 57}{space 4}-.0637222{col 70}{space 3} .1381168
{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2} 3.199484{col 29}{space 2}  .036912{col 40}{space 1}   86.68{col 49}{space 3}0.000{col 57}{space 4} 3.127073{col 70}{space 3} 3.271894
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. reg alphagenthreat i.cybertxt alphaperthreat revthreat ib3.partyid female age education ib2.race dlatino dbornusa devangelical i.census_region if partyid<4 & usa==1, robust

{txt}Linear regression                               Number of obs     = {res}     1,293
                                                {txt}F(20, 1272)       =  {res}    92.70
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.6417
                                                {txt}Root MSE          =    {res} .44487

{txt}{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}    alphagenthreat{col 20}{c |} Coefficient{col 32}  std. err.{col 44}      t{col 52}   P>|t|{col 60}     [95% con{col 73}f. interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}cybertxt {c |}
{space 7}US accuses  {c |}{col 20}{res}{space 2} .1010253{col 32}{space 2}  .030605{col 43}{space 1}    3.30{col 52}{space 3}0.001{col 60}{space 4} .0409835{col 73}{space 3} .1610671
{txt}{space 3}Russia accuses  {c |}{col 20}{res}{space 2} .0245711{col 32}{space 2} .0309006{col 43}{space 1}    0.80{col 52}{space 3}0.427{col 60}{space 4}-.0360507{col 73}{space 3} .0851929
{txt}{space 18} {c |}
{space 4}alphaperthreat {c |}{col 20}{res}{space 2} .6582566{col 32}{space 2} .0244318{col 43}{space 1}   26.94{col 52}{space 3}0.000{col 60}{space 4} .6103255{col 73}{space 3} .7061877
{txt}{space 9}revthreat {c |}{col 20}{res}{space 2} .1144962{col 32}{space 2}   .01855{col 43}{space 1}    6.17{col 52}{space 3}0.000{col 60}{space 4} .0781043{col 73}{space 3} .1508881
{txt}{space 18} {c |}
{space 11}partyid {c |}
{space 9}Democrat  {c |}{col 20}{res}{space 2}-.0289427{col 32}{space 2} .0344359{col 43}{space 1}   -0.84{col 52}{space 3}0.401{col 60}{space 4}-.0965001{col 73}{space 3} .0386147
{txt}{space 7}Republican  {c |}{col 20}{res}{space 2} .0334447{col 32}{space 2} .0365167{col 43}{space 1}    0.92{col 52}{space 3}0.360{col 60}{space 4}-.0381949{col 73}{space 3} .1050843
{txt}{space 18} {c |}
{space 12}female {c |}{col 20}{res}{space 2}-.0017175{col 32}{space 2} .0253382{col 43}{space 1}   -0.07{col 52}{space 3}0.946{col 60}{space 4}-.0514266{col 73}{space 3} .0479917
{txt}{space 15}age {c |}{col 20}{res}{space 2} .0064426{col 32}{space 2} .0008774{col 43}{space 1}    7.34{col 52}{space 3}0.000{col 60}{space 4} .0047212{col 73}{space 3} .0081639
{txt}{space 9}education {c |}{col 20}{res}{space 2} .0114016{col 32}{space 2} .0127788{col 43}{space 1}    0.89{col 52}{space 3}0.372{col 60}{space 4}-.0136684{col 73}{space 3} .0364715
{txt}{space 18} {c |}
{space 14}race {c |}
{space 1}African-American  {c |}{col 20}{res}{space 2}-.0322162{col 32}{space 2} .0421559{col 43}{space 1}   -0.76{col 52}{space 3}0.445{col 60}{space 4}-.1149189{col 73}{space 3} .0504865
{txt}{space 2}Native American  {c |}{col 20}{res}{space 2}-.0158885{col 32}{space 2} .0727916{col 43}{space 1}   -0.22{col 52}{space 3}0.827{col 60}{space 4}-.1586933{col 73}{space 3} .1269163
{txt}{space 12}Asian  {c |}{col 20}{res}{space 2} -.092355{col 32}{space 2} .0592201{col 43}{space 1}   -1.56{col 52}{space 3}0.119{col 60}{space 4}-.2085347{col 73}{space 3} .0238248
{txt}Multiple or other  {c |}{col 20}{res}{space 2} .1813052{col 32}{space 2}  .102734{col 43}{space 1}    1.76{col 52}{space 3}0.078{col 60}{space 4}-.0202415{col 73}{space 3}  .382852
{txt}{space 11}Unsure  {c |}{col 20}{res}{space 2} .0330608{col 32}{space 2} .1063218{col 43}{space 1}    0.31{col 52}{space 3}0.756{col 60}{space 4}-.1755245{col 73}{space 3} .2416461
{txt}{space 18} {c |}
{space 11}dlatino {c |}{col 20}{res}{space 2}-.0898635{col 32}{space 2} .0396572{col 43}{space 1}   -2.27{col 52}{space 3}0.024{col 60}{space 4}-.1676642{col 73}{space 3}-.0120629
{txt}{space 10}dbornusa {c |}{col 20}{res}{space 2}-.0928726{col 32}{space 2}  .054875{col 43}{space 1}   -1.69{col 52}{space 3}0.091{col 60}{space 4} -.200528{col 73}{space 3} .0147828
{txt}{space 6}devangelical {c |}{col 20}{res}{space 2} .0232266{col 32}{space 2} .0272654{col 43}{space 1}    0.85{col 52}{space 3}0.394{col 60}{space 4}-.0302635{col 73}{space 3} .0767167
{txt}{space 18} {c |}
{space 5}census_region {c |}
{space 10}Midwest  {c |}{col 20}{res}{space 2} .0115345{col 32}{space 2} .0415202{col 43}{space 1}    0.28{col 52}{space 3}0.781{col 60}{space 4}-.0699211{col 73}{space 3} .0929902
{txt}{space 12}South  {c |}{col 20}{res}{space 2} .0054999{col 32}{space 2} .0363881{col 43}{space 1}    0.15{col 52}{space 3}0.880{col 60}{space 4}-.0658874{col 73}{space 3} .0768873
{txt}{space 13}West  {c |}{col 20}{res}{space 2} .0593221{col 32}{space 2} .0439437{col 43}{space 1}    1.35{col 52}{space 3}0.177{col 60}{space 4} -.026888{col 73}{space 3} .1455323
{txt}{space 18} {c |}
{space 13}_cons {c |}{col 20}{res}{space 2}  .561064{col 32}{space 2} .1128392{col 43}{space 1}    4.97{col 52}{space 3}0.000{col 60}{space 4} .3396926{col 73}{space 3} .7824354
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. *Manuscript Table 1 Robustness Checks (Russia, Extended Controls)
. 
. reg alphaperthreat i.cybertxt if russia==1, robust

{txt}Linear regression                               Number of obs     = {res}     2,000
                                                {txt}F(2, 1997)        =  {res}     0.14
                                                {txt}Prob > F          = {res}    0.8687
                                                {txt}R-squared         = {res}    0.0001
                                                {txt}Root MSE          =    {res} .76691

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1} alphaperthreat{col 17}{c |} Coefficient{col 29}  std. err.{col 41}      t{col 49}   P>|t|{col 57}     [95% con{col 70}f. interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}cybertxt {c |}
{space 4}US accuses  {c |}{col 17}{res}{space 2} .0119981{col 29}{space 2} .0417401{col 40}{space 1}    0.29{col 49}{space 3}0.774{col 57}{space 4}-.0698606{col 70}{space 3} .0938568
{txt}Russia accuses  {c |}{col 17}{res}{space 2} -.010224{col 29}{space 2} .0422513{col 40}{space 1}   -0.24{col 49}{space 3}0.809{col 57}{space 4}-.0930852{col 70}{space 3} .0726372
{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2} 3.154412{col 29}{space 2}  .029719{col 40}{space 1}  106.14{col 49}{space 3}0.000{col 57}{space 4} 3.096128{col 70}{space 3} 3.212695
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. reg alphagenthreat i.cybertxt if russia==1, robust

{txt}Linear regression                               Number of obs     = {res}     2,000
                                                {txt}F(2, 1997)        =  {res}     0.16
                                                {txt}Prob > F          = {res}    0.8556
                                                {txt}R-squared         = {res}    0.0002
                                                {txt}Root MSE          =    {res} .82881

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1} alphagenthreat{col 17}{c |} Coefficient{col 29}  std. err.{col 41}      t{col 49}   P>|t|{col 57}     [95% con{col 70}f. interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}cybertxt {c |}
{space 4}US accuses  {c |}{col 17}{res}{space 2} .0044797{col 29}{space 2} .0451664{col 40}{space 1}    0.10{col 49}{space 3}0.921{col 57}{space 4}-.0840985{col 70}{space 3} .0930579
{txt}Russia accuses  {c |}{col 17}{res}{space 2} .0239612{col 29}{space 2} .0455994{col 40}{space 1}    0.53{col 49}{space 3}0.599{col 57}{space 4}-.0654662{col 70}{space 3} .1133886
{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2} 2.730882{col 29}{space 2} .0321044{col 40}{space 1}   85.06{col 49}{space 3}0.000{col 57}{space 4} 2.667921{col 70}{space 3} 2.793844
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. reg alphagenthreat i.cybertxt alphaperthreat revthreat female i.agecat i.strata i.region if russia==1, robust

{txt}Linear regression                               Number of obs     = {res}     2,000
                                                {txt}F(17, 1982)       =  {res}    88.89
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.3950
                                                {txt}Root MSE          =    {res} .64716

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1} alphagenthreat{col 17}{c |} Coefficient{col 29}  std. err.{col 41}      t{col 49}   P>|t|{col 57}     [95% con{col 70}f. interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}cybertxt {c |}
{space 4}US accuses  {c |}{col 17}{res}{space 2}-.0050369{col 29}{space 2}  .035317{col 40}{space 1}   -0.14{col 49}{space 3}0.887{col 57}{space 4}-.0742993{col 70}{space 3} .0642255
{txt}Russia accuses  {c |}{col 17}{res}{space 2} .0267709{col 29}{space 2} .0353223{col 40}{space 1}    0.76{col 49}{space 3}0.449{col 57}{space 4}-.0425019{col 70}{space 3} .0960437
{txt}{space 15} {c |}
{space 1}alphaperthreat {c |}{col 17}{res}{space 2} .6272812{col 29}{space 2} .0187858{col 40}{space 1}   33.39{col 49}{space 3}0.000{col 57}{space 4} .5904392{col 70}{space 3} .6641231
{txt}{space 6}revthreat {c |}{col 17}{res}{space 2} .1260381{col 29}{space 2} .0167542{col 40}{space 1}    7.52{col 49}{space 3}0.000{col 57}{space 4} .0931804{col 70}{space 3} .1588957
{txt}{space 9}female {c |}{col 17}{res}{space 2}-.0308266{col 29}{space 2} .0310714{col 40}{space 1}   -0.99{col 49}{space 3}0.321{col 57}{space 4}-.0917626{col 70}{space 3} .0301094
{txt}{space 15} {c |}
{space 9}agecat {c |}
{space 13}2  {c |}{col 17}{res}{space 2} .0258763{col 29}{space 2} .0353361{col 40}{space 1}    0.73{col 49}{space 3}0.464{col 57}{space 4}-.0434235{col 70}{space 3} .0951761
{txt}{space 13}3  {c |}{col 17}{res}{space 2} .1451042{col 29}{space 2}  .039451{col 40}{space 1}    3.68{col 49}{space 3}0.000{col 57}{space 4} .0677344{col 70}{space 3} .2224741
{txt}{space 15} {c |}
{space 9}strata {c |}
{space 11}СПб  {c |}{col 17}{res}{space 2} .0158313{col 29}{space 2} .1098959{col 40}{space 1}    0.14{col 49}{space 3}0.885{col 57}{space 4}-.1996923{col 70}{space 3} .2313549
{txt}{space 2}Другие 1млн+  {c |}{col 17}{res}{space 2} .0161511{col 29}{space 2} .0669999{col 40}{space 1}    0.24{col 49}{space 3}0.810{col 57}{space 4}-.1152466{col 70}{space 3} .1475488
{txt}{space 3}Города 500+  {c |}{col 17}{res}{space 2}-.0205789{col 29}{space 2} .0676516{col 40}{space 1}   -0.30{col 49}{space 3}0.761{col 57}{space 4}-.1532547{col 70}{space 3} .1120969
{txt}{space 3}Города 100+  {c |}{col 17}{res}{space 2}-.0507502{col 29}{space 2} .0527301{col 40}{space 1}   -0.96{col 49}{space 3}0.336{col 57}{space 4}-.1541624{col 70}{space 3} .0526619
{txt}{space 15} {c |}
{space 9}region {c |}
{space 10}СЗФО  {c |}{col 17}{res}{space 2}-.0865963{col 29}{space 2} .0858411{col 40}{space 1}   -1.01{col 49}{space 3}0.313{col 57}{space 4}-.2549446{col 70}{space 3} .0817521
{txt}{space 6}ЮФО+СКФО  {c |}{col 17}{res}{space 2} .0773967{col 29}{space 2} .0595952{col 40}{space 1}    1.30{col 49}{space 3}0.194{col 57}{space 4}-.0394791{col 70}{space 3} .1942724
{txt}{space 11}ПФО  {c |}{col 17}{res}{space 2}-.1254639{col 29}{space 2} .0612424{col 40}{space 1}   -2.05{col 49}{space 3}0.041{col 57}{space 4}-.2455702{col 70}{space 3}-.0053577
{txt}{space 11}УФО  {c |}{col 17}{res}{space 2}-.0179876{col 29}{space 2} .0688352{col 40}{space 1}   -0.26{col 49}{space 3}0.794{col 57}{space 4}-.1529844{col 70}{space 3} .1170093
{txt}{space 11}СФО  {c |}{col 17}{res}{space 2} .0149157{col 29}{space 2} .0618784{col 40}{space 1}    0.24{col 49}{space 3}0.810{col 57}{space 4}-.1064378{col 70}{space 3} .1362692
{txt}{space 10}ДВФО  {c |}{col 17}{res}{space 2} .0272563{col 29}{space 2} .0561711{col 40}{space 1}    0.49{col 49}{space 3}0.628{col 57}{space 4}-.0829042{col 70}{space 3} .1374169
{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2} .4429225{col 29}{space 2} .0802239{col 40}{space 1}    5.52{col 49}{space 3}0.000{col 57}{space 4} .2855906{col 70}{space 3} .6002544
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. *Response Escalation Index Validity and Construction
. 
. catcibar revwarnpublic-revmilstrike, over(usa)
{txt}
{com}. 
. *Note additional formatting requires the "Cyber response options formatting.grec" file with the command graph play "Cyber response options formatting.grec" 
. 
. catcibar revwarnpublic-revmilstrike, over(cybertxt) by(usa)
{txt}
{com}. 
. *Note additional formatting requires the "Cyber response options 2 formatting.grec" file with the command graph play "Cyber response options 2 formatting.grec" 
. 
. *Factor Analysis of Offensive Response Options (United States)
. 
. factor revsanctions revcyberattack revmilstrike if usa==1
{txt}(obs=1,360)

Factor analysis/correlation{col 50}Number of obs    = {res}     1,360
{col 5}{txt}Method: principal factors{col 50}Retained factors =   {res}       1
{col 5}{txt}Rotation: (unrotated){col 50}Number of params =   {res}       3

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}     Factor  {c |} {ralign 12:Eigenvalue}   Difference        Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 11:Factor1}  {c |}{res}      1.18469      1.26733            1.3438       1.3438
{txt}{col 5}{ralign 11:Factor2}  {c |}{res}     -0.08264      0.13782           -0.0937       1.2501
{txt}{col 5}{ralign 11:Factor3}  {c |}{res}     -0.22046            .           -0.2501       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}
{col 5}LR test: independent vs. saturated:  chi2({res}3{txt})  ={res}  790.14{txt} Prob>chi2 ={res} 0.0000

{txt}Factor loadings (pattern matrix) and unique variances

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 14}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Factor1}{space 1}{c |}{space 1}{ralign 12:Uniqueness}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 14}
{space 4}{space 0}{ralign 12:revsanctions}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4813}}}{space 1}{c |}{space 1}{center 12:{res:{sf:    0.7684}}}{space 1}
{space 4}{space 0}{ralign 12:revcyberat~k}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.7017}}}{space 1}{c |}{space 1}{center 12:{res:{sf:    0.5076}}}{space 1}
{space 4}{space 0}{ralign 12:revmilstrike}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.6787}}}{space 1}{c |}{space 1}{center 12:{res:{sf:    0.5394}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 14}

{com}. alpha revsanctions revcyberattack revmilstrike  if usa==1

{txt}Test scale = mean(unstandardized items)

Average interitem covariance:{col 34}{res} .3758018
{txt}Number of items in the scale:{col 34}{res}        3
{txt}Scale reliability coefficient:{col 34}{res}   0.6973
{txt}
{com}. 
. *Factor Analysis of Defensive Response Options (United States)
. 
. factor revwarnpublic revincsecurity revdiplomacy if usa==1
{txt}(obs=1,360)

Factor analysis/correlation{col 50}Number of obs    = {res}     1,360
{col 5}{txt}Method: principal factors{col 50}Retained factors =   {res}       1
{col 5}{txt}Rotation: (unrotated){col 50}Number of params =   {res}       3

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}     Factor  {c |} {ralign 12:Eigenvalue}   Difference        Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 11:Factor1}  {c |}{res}      1.70730      1.83034            1.2007       1.2007
{txt}{col 5}{ralign 11:Factor2}  {c |}{res}     -0.12305      0.03933           -0.0865       1.1142
{txt}{col 5}{ralign 11:Factor3}  {c |}{res}     -0.16238            .           -0.1142       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}
{col 5}LR test: independent vs. saturated:  chi2({res}3{txt})  ={res} 1527.62{txt} Prob>chi2 ={res} 0.0000

{txt}Factor loadings (pattern matrix) and unique variances

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 14}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Factor1}{space 1}{c |}{space 1}{ralign 12:Uniqueness}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 14}
{space 4}{space 0}{ralign 12:revwarnpub~c}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.7716}}}{space 1}{c |}{space 1}{center 12:{res:{sf:    0.4047}}}{space 1}
{space 4}{space 0}{ralign 12:revincsecu~y}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.7773}}}{space 1}{c |}{space 1}{center 12:{res:{sf:    0.3959}}}{space 1}
{space 4}{space 0}{ralign 12:revdiplomacy}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.7126}}}{space 1}{c |}{space 1}{center 12:{res:{sf:    0.4922}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 14}

{com}. alpha revwarnpublic revincsecurity revdiplomacy if usa==1

{txt}Test scale = mean(unstandardized items)

Average interitem covariance:{col 34}{res}  .407963
{txt}Number of items in the scale:{col 34}{res}        3
{txt}Scale reliability coefficient:{col 34}{res}   0.8278
{txt}
{com}. 
. *Factor Analysis of Offensive Response Options (Russia)
. 
. factor revsanctions revcyberattack revmilstrike if russia==1
{txt}(obs=2,000)

Factor analysis/correlation{col 50}Number of obs    = {res}     2,000
{col 5}{txt}Method: principal factors{col 50}Retained factors =   {res}       1
{col 5}{txt}Rotation: (unrotated){col 50}Number of params =   {res}       3

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}     Factor  {c |} {ralign 12:Eigenvalue}   Difference        Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 11:Factor1}  {c |}{res}      1.31806      1.42973            1.3143       1.3143
{txt}{col 5}{ralign 11:Factor2}  {c |}{res}     -0.11167      0.09189           -0.1114       1.2030
{txt}{col 5}{ralign 11:Factor3}  {c |}{res}     -0.20355            .           -0.2030       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}
{col 5}LR test: independent vs. saturated:  chi2({res}3{txt})  ={res} 1380.29{txt} Prob>chi2 ={res} 0.0000

{txt}Factor loadings (pattern matrix) and unique variances

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 14}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Factor1}{space 1}{c |}{space 1}{ralign 12:Uniqueness}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 14}
{space 4}{space 0}{ralign 12:revsanctions}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.5755}}}{space 1}{c |}{space 1}{center 12:{res:{sf:    0.6688}}}{space 1}
{space 4}{space 0}{ralign 12:revcyberat~k}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.7140}}}{space 1}{c |}{space 1}{center 12:{res:{sf:    0.4902}}}{space 1}
{space 4}{space 0}{ralign 12:revmilstrike}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.6906}}}{space 1}{c |}{space 1}{center 12:{res:{sf:    0.5230}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 14}

{com}. alpha revsanctions revcyberattack revmilstrike if russia==1

{txt}Test scale = mean(unstandardized items)

Average interitem covariance:{col 34}{res} .5275459
{txt}Number of items in the scale:{col 34}{res}        3
{txt}Scale reliability coefficient:{col 34}{res}   0.7397
{txt}
{com}. 
. *Factor Analysis of Defensive Response Options (Russia)
. 
. factor revwarnpublic revincsecurity revdiplomacy if russia==1
{txt}(obs=2,000)

Factor analysis/correlation{col 50}Number of obs    = {res}     2,000
{col 5}{txt}Method: principal factors{col 50}Retained factors =   {res}       1
{col 5}{txt}Rotation: (unrotated){col 50}Number of params =   {res}       3

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}     Factor  {c |} {ralign 12:Eigenvalue}   Difference        Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 11:Factor1}  {c |}{res}      1.37028      1.49669            1.3041       1.3041
{txt}{col 5}{ralign 11:Factor2}  {c |}{res}     -0.12641      0.06671           -0.1203       1.1838
{txt}{col 5}{ralign 11:Factor3}  {c |}{res}     -0.19312            .           -0.1838       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}
{col 5}LR test: independent vs. saturated:  chi2({res}3{txt})  ={res} 1471.88{txt} Prob>chi2 ={res} 0.0000

{txt}Factor loadings (pattern matrix) and unique variances

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 14}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Factor1}{space 1}{c |}{space 1}{ralign 12:Uniqueness}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 14}
{space 4}{space 0}{ralign 12:revwarnpub~c}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.7092}}}{space 1}{c |}{space 1}{center 12:{res:{sf:    0.4970}}}{space 1}
{space 4}{space 0}{ralign 12:revincsecu~y}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.7022}}}{space 1}{c |}{space 1}{center 12:{res:{sf:    0.5069}}}{space 1}
{space 4}{space 0}{ralign 12:revdiplomacy}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.6117}}}{space 1}{c |}{space 1}{center 12:{res:{sf:    0.6258}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 14}

{com}. alpha revwarnpublic revincsecurity revdiplomacy  if russia==1

{txt}Test scale = mean(unstandardized items)

Average interitem covariance:{col 34}{res} .2282882
{txt}Number of items in the scale:{col 34}{res}        3
{txt}Scale reliability coefficient:{col 34}{res}   0.7478
{txt}
{com}. 
. *Manuscript Table 2 Robustness Checks (United States, Extended Controls)
. 
. reg alphaoffense i.cybertxt if usa==1, robust

{txt}Linear regression                               Number of obs     = {res}     1,361
                                                {txt}F(2, 1358)        =  {res}     3.11
                                                {txt}Prob > F          = {res}    0.0449
                                                {txt}R-squared         = {res}    0.0046
                                                {txt}Root MSE          =    {res} .73312

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}   alphaoffense{col 17}{c |} Coefficient{col 29}  std. err.{col 41}      t{col 49}   P>|t|{col 57}     [95% con{col 70}f. interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}cybertxt {c |}
{space 4}US accuses  {c |}{col 17}{res}{space 2} .0546883{col 29}{space 2} .0494571{col 40}{space 1}    1.11{col 49}{space 3}0.269{col 57}{space 4}-.0423323{col 70}{space 3} .1517089
{txt}Russia accuses  {c |}{col 17}{res}{space 2} .1209413{col 29}{space 2}  .048683{col 40}{space 1}    2.48{col 49}{space 3}0.013{col 57}{space 4} .0254392{col 70}{space 3} .2164434
{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2}  2.81153{col 29}{space 2} .0354759{col 40}{space 1}   79.25{col 49}{space 3}0.000{col 57}{space 4} 2.741936{col 70}{space 3} 2.881124
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. reg alphagenthreat i.cybertxt if usa==1, robust

{txt}Linear regression                               Number of obs     = {res}     1,361
                                                {txt}F(2, 1358)        =  {res}     4.58
                                                {txt}Prob > F          = {res}    0.0104
                                                {txt}R-squared         = {res}    0.0063
                                                {txt}Root MSE          =    {res} .75232

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1} alphagenthreat{col 17}{c |} Coefficient{col 29}  std. err.{col 41}      t{col 49}   P>|t|{col 57}     [95% con{col 70}f. interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}cybertxt {c |}
{space 4}US accuses  {c |}{col 17}{res}{space 2} .1420708{col 29}{space 2} .0495158{col 40}{space 1}    2.87{col 49}{space 3}0.004{col 57}{space 4}  .044935{col 70}{space 3} .2392066
{txt}Russia accuses  {c |}{col 17}{res}{space 2} .0371973{col 29}{space 2} .0514446{col 40}{space 1}    0.72{col 49}{space 3}0.470{col 57}{space 4}-.0637222{col 70}{space 3} .1381168
{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2} 3.199484{col 29}{space 2}  .036912{col 40}{space 1}   86.68{col 49}{space 3}0.000{col 57}{space 4} 3.127073{col 70}{space 3} 3.271894
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. reg revoffensejust i.cybertxt if usa==1, robust

{txt}Linear regression                               Number of obs     = {res}     1,359
                                                {txt}F(2, 1356)        =  {res}     1.63
                                                {txt}Prob > F          = {res}    0.1969
                                                {txt}R-squared         = {res}    0.0024
                                                {txt}Root MSE          =    {res}  .9206

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1} revoffensejust{col 17}{c |} Coefficient{col 29}  std. err.{col 41}      t{col 49}   P>|t|{col 57}     [95% con{col 70}f. interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}cybertxt {c |}
{space 4}US accuses  {c |}{col 17}{res}{space 2} .0745192{col 29}{space 2} .0610191{col 40}{space 1}    1.22{col 49}{space 3}0.222{col 57}{space 4} -.045183{col 70}{space 3} .1942214
{txt}Russia accuses  {c |}{col 17}{res}{space 2} .1068778{col 29}{space 2} .0608817{col 40}{space 1}    1.76{col 49}{space 3}0.079{col 57}{space 4}-.0125548{col 70}{space 3} .2263105
{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2} 2.808889{col 29}{space 2} .0426515{col 40}{space 1}   65.86{col 49}{space 3}0.000{col 57}{space 4} 2.725219{col 70}{space 3} 2.892559
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. reg alphaoffense i.cybertxt alphagenthreat revthreat revoffensejust ib3.partyid female age education i.race dlatino dbornusa devangelical i.census_region if partyid<4 & usa==1, robust

{txt}Linear regression                               Number of obs     = {res}     1,290
                                                {txt}F(21, 1268)       =  {res}    61.66
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.4821
                                                {txt}Root MSE          =    {res} .52507

{txt}{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}      alphaoffense{col 20}{c |} Coefficient{col 32}  std. err.{col 44}      t{col 52}   P>|t|{col 60}     [95% con{col 73}f. interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}cybertxt {c |}
{space 7}US accuses  {c |}{col 20}{res}{space 2}-.0145311{col 32}{space 2} .0369821{col 43}{space 1}   -0.39{col 52}{space 3}0.694{col 60}{space 4}-.0870839{col 73}{space 3} .0580217
{txt}{space 3}Russia accuses  {c |}{col 20}{res}{space 2}  .062238{col 32}{space 2} .0357997{col 43}{space 1}    1.74{col 52}{space 3}0.082{col 60}{space 4}-.0079952{col 73}{space 3} .1324711
{txt}{space 18} {c |}
{space 4}alphagenthreat {c |}{col 20}{res}{space 2} .1454875{col 32}{space 2} .0291573{col 43}{space 1}    4.99{col 52}{space 3}0.000{col 60}{space 4} .0882856{col 73}{space 3} .2026895
{txt}{space 9}revthreat {c |}{col 20}{res}{space 2} .1626932{col 32}{space 2} .0243998{col 43}{space 1}    6.67{col 52}{space 3}0.000{col 60}{space 4} .1148247{col 73}{space 3} .2105617
{txt}{space 4}revoffensejust {c |}{col 20}{res}{space 2} .3898822{col 32}{space 2} .0218381{col 43}{space 1}   17.85{col 52}{space 3}0.000{col 60}{space 4} .3470394{col 73}{space 3} .4327249
{txt}{space 18} {c |}
{space 11}partyid {c |}
{space 9}Democrat  {c |}{col 20}{res}{space 2} .0029058{col 32}{space 2} .0389102{col 43}{space 1}    0.07{col 52}{space 3}0.940{col 60}{space 4}-.0734296{col 73}{space 3} .0792413
{txt}{space 7}Republican  {c |}{col 20}{res}{space 2} .0246285{col 32}{space 2} .0405519{col 43}{space 1}    0.61{col 52}{space 3}0.544{col 60}{space 4}-.0549277{col 73}{space 3} .1041847
{txt}{space 18} {c |}
{space 12}female {c |}{col 20}{res}{space 2}-.0448481{col 32}{space 2} .0310721{col 43}{space 1}   -1.44{col 52}{space 3}0.149{col 60}{space 4}-.1058066{col 73}{space 3} .0161104
{txt}{space 15}age {c |}{col 20}{res}{space 2}-.0019975{col 32}{space 2} .0010985{col 43}{space 1}   -1.82{col 52}{space 3}0.069{col 60}{space 4}-.0041526{col 73}{space 3} .0001576
{txt}{space 9}education {c |}{col 20}{res}{space 2} .0584421{col 32}{space 2} .0149076{col 43}{space 1}    3.92{col 52}{space 3}0.000{col 60}{space 4} .0291959{col 73}{space 3} .0876883
{txt}{space 18} {c |}
{space 14}race {c |}
{space 12}White  {c |}{col 20}{res}{space 2}-.1281227{col 32}{space 2} .0510641{col 43}{space 1}   -2.51{col 52}{space 3}0.012{col 60}{space 4}-.2283022{col 73}{space 3}-.0279433
{txt}{space 2}Native American  {c |}{col 20}{res}{space 2}-.1804958{col 32}{space 2} .1317939{col 43}{space 1}   -1.37{col 52}{space 3}0.171{col 60}{space 4}-.4390539{col 73}{space 3} .0780623
{txt}{space 12}Asian  {c |}{col 20}{res}{space 2}-.1402228{col 32}{space 2} .0947155{col 43}{space 1}   -1.48{col 52}{space 3}0.139{col 60}{space 4}-.3260391{col 73}{space 3} .0455934
{txt}Multiple or other  {c |}{col 20}{res}{space 2}-.2201281{col 32}{space 2} .1381011{col 43}{space 1}   -1.59{col 52}{space 3}0.111{col 60}{space 4}-.4910599{col 73}{space 3} .0508036
{txt}{space 11}Unsure  {c |}{col 20}{res}{space 2}-.3638372{col 32}{space 2} .1409952{col 43}{space 1}   -2.58{col 52}{space 3}0.010{col 60}{space 4}-.6404467{col 73}{space 3}-.0872277
{txt}{space 18} {c |}
{space 11}dlatino {c |}{col 20}{res}{space 2} .1051221{col 32}{space 2} .0454688{col 43}{space 1}    2.31{col 52}{space 3}0.021{col 60}{space 4} .0159197{col 73}{space 3} .1943245
{txt}{space 10}dbornusa {c |}{col 20}{res}{space 2}-.0827551{col 32}{space 2} .0746059{col 43}{space 1}   -1.11{col 52}{space 3}0.268{col 60}{space 4}-.2291196{col 73}{space 3} .0636095
{txt}{space 6}devangelical {c |}{col 20}{res}{space 2} .0861729{col 32}{space 2}  .031896{col 43}{space 1}    2.70{col 52}{space 3}0.007{col 60}{space 4} .0235982{col 73}{space 3} .1487476
{txt}{space 18} {c |}
{space 5}census_region {c |}
{space 10}Midwest  {c |}{col 20}{res}{space 2}  -.01528{col 32}{space 2} .0490406{col 43}{space 1}   -0.31{col 52}{space 3}0.755{col 60}{space 4}-.1114896{col 73}{space 3} .0809296
{txt}{space 12}South  {c |}{col 20}{res}{space 2}-.0035444{col 32}{space 2} .0448934{col 43}{space 1}   -0.08{col 52}{space 3}0.937{col 60}{space 4}-.0916179{col 73}{space 3} .0845292
{txt}{space 13}West  {c |}{col 20}{res}{space 2}-.0456274{col 32}{space 2}  .050943{col 43}{space 1}   -0.90{col 52}{space 3}0.371{col 60}{space 4}-.1455692{col 73}{space 3} .0543143
{txt}{space 18} {c |}
{space 13}_cons {c |}{col 20}{res}{space 2}  .851107{col 32}{space 2} .1372588{col 43}{space 1}    6.20{col 52}{space 3}0.000{col 60}{space 4} .5818276{col 73}{space 3} 1.120386
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. *Manuscript Table 2 Robustness Checks (Russia, Extended Controls)
. 
. reg alphaoffense i.cybertxt if russia==1, robust

{txt}Linear regression                               Number of obs     = {res}     2,000
                                                {txt}F(2, 1997)        =  {res}     3.17
                                                {txt}Prob > F          = {res}    0.0424
                                                {txt}R-squared         = {res}    0.0032
                                                {txt}Root MSE          =    {res} .84357

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}   alphaoffense{col 17}{c |} Coefficient{col 29}  std. err.{col 41}      t{col 49}   P>|t|{col 57}     [95% con{col 70}f. interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}cybertxt {c |}
{space 4}US accuses  {c |}{col 17}{res}{space 2}-.1107216{col 29}{space 2} .0462322{col 40}{space 1}   -2.39{col 49}{space 3}0.017{col 57}{space 4}  -.20139{col 70}{space 3}-.0200533
{txt}Russia accuses  {c |}{col 17}{res}{space 2} -.085159{col 29}{space 2} .0459674{col 40}{space 1}   -1.85{col 49}{space 3}0.064{col 57}{space 4} -.175308{col 70}{space 3} .0049901
{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2}    2.725{col 29}{space 2}  .032363{col 40}{space 1}   84.20{col 49}{space 3}0.000{col 57}{space 4} 2.661531{col 70}{space 3} 2.788469
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. reg alphagenthreat i.cybertxt if russia==1, robust

{txt}Linear regression                               Number of obs     = {res}     2,000
                                                {txt}F(2, 1997)        =  {res}     0.16
                                                {txt}Prob > F          = {res}    0.8556
                                                {txt}R-squared         = {res}    0.0002
                                                {txt}Root MSE          =    {res} .82881

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1} alphagenthreat{col 17}{c |} Coefficient{col 29}  std. err.{col 41}      t{col 49}   P>|t|{col 57}     [95% con{col 70}f. interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}cybertxt {c |}
{space 4}US accuses  {c |}{col 17}{res}{space 2} .0044797{col 29}{space 2} .0451664{col 40}{space 1}    0.10{col 49}{space 3}0.921{col 57}{space 4}-.0840985{col 70}{space 3} .0930579
{txt}Russia accuses  {c |}{col 17}{res}{space 2} .0239612{col 29}{space 2} .0455994{col 40}{space 1}    0.53{col 49}{space 3}0.599{col 57}{space 4}-.0654662{col 70}{space 3} .1133886
{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2} 2.730882{col 29}{space 2} .0321044{col 40}{space 1}   85.06{col 49}{space 3}0.000{col 57}{space 4} 2.667921{col 70}{space 3} 2.793844
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. reg revoffensejust i.cybertxt if russia==1, robust

{txt}Linear regression                               Number of obs     = {res}     2,000
                                                {txt}F(2, 1997)        =  {res}     1.48
                                                {txt}Prob > F          = {res}    0.2284
                                                {txt}R-squared         = {res}    0.0015
                                                {txt}Root MSE          =    {res} .95387

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1} revoffensejust{col 17}{c |} Coefficient{col 29}  std. err.{col 41}      t{col 49}   P>|t|{col 57}     [95% con{col 70}f. interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}cybertxt {c |}
{space 4}US accuses  {c |}{col 17}{res}{space 2}-.0893252{col 29}{space 2} .0520685{col 40}{space 1}   -1.72{col 49}{space 3}0.086{col 57}{space 4}-.1914396{col 70}{space 3} .0127892
{txt}Russia accuses  {c |}{col 17}{res}{space 2} -.045803{col 29}{space 2} .0512883{col 40}{space 1}   -0.89{col 49}{space 3}0.372{col 57}{space 4}-.1463871{col 70}{space 3} .0547811
{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2} 2.807353{col 29}{space 2} .0351905{col 40}{space 1}   79.78{col 49}{space 3}0.000{col 57}{space 4} 2.738339{col 70}{space 3} 2.876367
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. reg alphaoffense i.cybertxt alphagenthreat revoffensejust revthreat female i.agecat i.strata i.region if russia==1, robust

{txt}Linear regression                               Number of obs     = {res}     2,000
                                                {txt}F(18, 1981)       =  {res}   102.81
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.4739
                                                {txt}Root MSE          =    {res} .61529

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}   alphaoffense{col 17}{c |} Coefficient{col 29}  std. err.{col 41}      t{col 49}   P>|t|{col 57}     [95% con{col 70}f. interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}cybertxt {c |}
{space 4}US accuses  {c |}{col 17}{res}{space 2}-.0762679{col 29}{space 2} .0339342{col 40}{space 1}   -2.25{col 49}{space 3}0.025{col 57}{space 4}-.1428184{col 70}{space 3}-.0097174
{txt}Russia accuses  {c |}{col 17}{res}{space 2}-.0686572{col 29}{space 2} .0333646{col 40}{space 1}   -2.06{col 49}{space 3}0.040{col 57}{space 4}-.1340906{col 70}{space 3}-.0032237
{txt}{space 15} {c |}
{space 1}alphagenthreat {c |}{col 17}{res}{space 2} .0978887{col 29}{space 2} .0191824{col 40}{space 1}    5.10{col 49}{space 3}0.000{col 57}{space 4} .0602689{col 70}{space 3} .1355086
{txt}{space 1}revoffensejust {c |}{col 17}{res}{space 2} .4639733{col 29}{space 2} .0187225{col 40}{space 1}   24.78{col 49}{space 3}0.000{col 57}{space 4} .4272554{col 70}{space 3} .5006911
{txt}{space 6}revthreat {c |}{col 17}{res}{space 2} .1490049{col 29}{space 2} .0183512{col 40}{space 1}    8.12{col 49}{space 3}0.000{col 57}{space 4} .1130151{col 70}{space 3} .1849946
{txt}{space 9}female {c |}{col 17}{res}{space 2} .0025601{col 29}{space 2}  .029043{col 40}{space 1}    0.09{col 49}{space 3}0.930{col 57}{space 4}-.0543979{col 70}{space 3} .0595181
{txt}{space 15} {c |}
{space 9}agecat {c |}
{space 13}2  {c |}{col 17}{res}{space 2} .0675894{col 29}{space 2} .0332083{col 40}{space 1}    2.04{col 49}{space 3}0.042{col 57}{space 4} .0024624{col 70}{space 3} .1327164
{txt}{space 13}3  {c |}{col 17}{res}{space 2} .0461891{col 29}{space 2} .0362884{col 40}{space 1}    1.27{col 49}{space 3}0.203{col 57}{space 4}-.0249784{col 70}{space 3} .1173565
{txt}{space 15} {c |}
{space 9}strata {c |}
{space 11}СПб  {c |}{col 17}{res}{space 2}-.0413617{col 29}{space 2} .1124068{col 40}{space 1}   -0.37{col 49}{space 3}0.713{col 57}{space 4}-.2618097{col 70}{space 3} .1790863
{txt}{space 2}Другие 1млн+  {c |}{col 17}{res}{space 2}-.0781719{col 29}{space 2} .0634606{col 40}{space 1}   -1.23{col 49}{space 3}0.218{col 57}{space 4}-.2026284{col 70}{space 3} .0462846
{txt}{space 3}Города 500+  {c |}{col 17}{res}{space 2} .0392926{col 29}{space 2} .0631549{col 40}{space 1}    0.62{col 49}{space 3}0.534{col 57}{space 4}-.0845644{col 70}{space 3} .1631496
{txt}{space 3}Города 100+  {c |}{col 17}{res}{space 2}-.0613174{col 29}{space 2} .0543411{col 40}{space 1}   -1.13{col 49}{space 3}0.259{col 57}{space 4}-.1678891{col 70}{space 3} .0452542
{txt}{space 15} {c |}
{space 9}region {c |}
{space 10}СЗФО  {c |}{col 17}{res}{space 2}-.1449648{col 29}{space 2} .0907771{col 40}{space 1}   -1.60{col 49}{space 3}0.110{col 57}{space 4}-.3229933{col 70}{space 3} .0330638
{txt}{space 6}ЮФО+СКФО  {c |}{col 17}{res}{space 2}-.0489731{col 29}{space 2} .0519331{col 40}{space 1}   -0.94{col 49}{space 3}0.346{col 57}{space 4}-.1508223{col 70}{space 3} .0528762
{txt}{space 11}ПФО  {c |}{col 17}{res}{space 2}-.1365422{col 29}{space 2} .0554416{col 40}{space 1}   -2.46{col 49}{space 3}0.014{col 57}{space 4}-.2452721{col 70}{space 3}-.0278123
{txt}{space 11}УФО  {c |}{col 17}{res}{space 2}-.0107022{col 29}{space 2} .0656166{col 40}{space 1}   -0.16{col 49}{space 3}0.870{col 57}{space 4} -.139387{col 70}{space 3} .1179826
{txt}{space 11}СФО  {c |}{col 17}{res}{space 2} .0083683{col 29}{space 2}  .060053{col 40}{space 1}    0.14{col 49}{space 3}0.889{col 57}{space 4}-.1094053{col 70}{space 3} .1261419
{txt}{space 10}ДВФО  {c |}{col 17}{res}{space 2}-.0663928{col 29}{space 2} .0534639{col 40}{space 1}   -1.24{col 49}{space 3}0.214{col 57}{space 4}-.1712441{col 70}{space 3} .0384586
{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2} .8325079{col 29}{space 2} .0813224{col 40}{space 1}   10.24{col 49}{space 3}0.000{col 57}{space 4} .6730214{col 70}{space 3} .9919944
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. *Manuscript Table 2. Stepwise Regression (OLS)
. 
. reg alphaoffense i.cybertxt##usa, robust

{txt}Linear regression                               Number of obs     = {res}     3,361
                                                {txt}F(5, 3355)        =  {res}    14.51
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0199
                                                {txt}Root MSE          =    {res}  .8007

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}     alphaoffense{col 19}{c |} Coefficient{col 31}  std. err.{col 43}      t{col 51}   P>|t|{col 59}     [95% con{col 72}f. interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}cybertxt {c |}
{space 6}US accuses  {c |}{col 19}{res}{space 2}-.1107216{col 31}{space 2} .0462388{col 42}{space 1}   -2.39{col 51}{space 3}0.017{col 59}{space 4}-.2013807{col 72}{space 3}-.0200626
{txt}{space 2}Russia accuses  {c |}{col 19}{res}{space 2} -.085159{col 31}{space 2} .0459739{col 42}{space 1}   -1.85{col 51}{space 3}0.064{col 59}{space 4}-.1752987{col 72}{space 3} .0049808
{txt}{space 17} {c |}
{space 12}1.usa {c |}{col 19}{res}{space 2} .0865299{col 31}{space 2} .0480175{col 42}{space 1}    1.80{col 51}{space 3}0.072{col 59}{space 4}-.0076166{col 72}{space 3} .1806764
{txt}{space 17} {c |}
{space 5}cybertxt#usa {c |}
{space 4}US accuses#1  {c |}{col 19}{res}{space 2} .1654099{col 31}{space 2} .0676979{col 42}{space 1}    2.44{col 51}{space 3}0.015{col 59}{space 4} .0326767{col 72}{space 3} .2981432
{txt}Russia accuses#1  {c |}{col 19}{res}{space 2} .2061003{col 31}{space 2} .0669526{col 42}{space 1}    3.08{col 51}{space 3}0.002{col 59}{space 4} .0748283{col 72}{space 3} .3373723
{txt}{space 17} {c |}
{space 12}_cons {c |}{col 19}{res}{space 2}    2.725{col 31}{space 2} .0323676{col 42}{space 1}   84.19{col 51}{space 3}0.000{col 59}{space 4} 2.661538{col 72}{space 3} 2.788462
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. reg alphaoffense i.cybertxt##usa  alphagenthreat, robust

{txt}Linear regression                               Number of obs     = {res}     3,360
                                                {txt}F(6, 3353)        =  {res}    50.92
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0999
                                                {txt}Root MSE          =    {res}   .767

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}     alphaoffense{col 19}{c |} Coefficient{col 31}  std. err.{col 43}      t{col 51}   P>|t|{col 59}     [95% con{col 72}f. interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}cybertxt {c |}
{space 6}US accuses  {c |}{col 19}{res}{space 2}-.1120029{col 31}{space 2} .0446598{col 42}{space 1}   -2.51{col 51}{space 3}0.012{col 59}{space 4}-.1995662{col 72}{space 3}-.0244396
{txt}{space 2}Russia accuses  {c |}{col 19}{res}{space 2}-.0920121{col 31}{space 2} .0444931{col 42}{space 1}   -2.07{col 51}{space 3}0.039{col 59}{space 4}-.1792485{col 72}{space 3}-.0047757
{txt}{space 17} {c |}
{space 12}1.usa {c |}{col 19}{res}{space 2}-.0488903{col 31}{space 2} .0460134{col 42}{space 1}   -1.06{col 51}{space 3}0.288{col 59}{space 4}-.1391076{col 72}{space 3} .0413269
{txt}{space 17} {c |}
{space 5}cybertxt#usa {c |}
{space 4}US accuses#1  {c |}{col 19}{res}{space 2} .1274521{col 31}{space 2} .0642104{col 42}{space 1}    1.98{col 51}{space 3}0.047{col 59}{space 4} .0015566{col 72}{space 3} .2533477
{txt}Russia accuses#1  {c |}{col 19}{res}{space 2} .2078833{col 31}{space 2}  .063525{col 42}{space 1}    3.27{col 51}{space 3}0.001{col 59}{space 4} .0833316{col 72}{space 3} .3324349
{txt}{space 17} {c |}
{space 3}alphagenthreat {c |}{col 19}{res}{space 2} .2860116{col 31}{space 2} .0192061{col 42}{space 1}   14.89{col 51}{space 3}0.000{col 59}{space 4} .2483546{col 72}{space 3} .3236685
{txt}{space 12}_cons {c |}{col 19}{res}{space 2} 1.943936{col 31}{space 2}  .061741{col 42}{space 1}   31.49{col 51}{space 3}0.000{col 59}{space 4} 1.822882{col 72}{space 3}  2.06499
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. reg alphaoffense i.cybertxt##usa  alphagenthreat revthreat, robust

{txt}Linear regression                               Number of obs     = {res}     3,359
                                                {txt}F(7, 3351)        =  {res}   160.75
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.2713
                                                {txt}Root MSE          =    {res} .69001

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}     alphaoffense{col 19}{c |} Coefficient{col 31}  std. err.{col 43}      t{col 51}   P>|t|{col 59}     [95% con{col 72}f. interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}cybertxt {c |}
{space 6}US accuses  {c |}{col 19}{res}{space 2}-.1203264{col 31}{space 2} .0393735{col 42}{space 1}   -3.06{col 51}{space 3}0.002{col 59}{space 4} -.197525{col 72}{space 3}-.0431279
{txt}{space 2}Russia accuses  {c |}{col 19}{res}{space 2}-.1024209{col 31}{space 2} .0395674{col 42}{space 1}   -2.59{col 51}{space 3}0.010{col 59}{space 4}-.1799997{col 72}{space 3}-.0248421
{txt}{space 17} {c |}
{space 12}1.usa {c |}{col 19}{res}{space 2}-.2079131{col 31}{space 2} .0411946{col 42}{space 1}   -5.05{col 51}{space 3}0.000{col 59}{space 4}-.2886822{col 72}{space 3} -.127144
{txt}{space 17} {c |}
{space 5}cybertxt#usa {c |}
{space 4}US accuses#1  {c |}{col 19}{res}{space 2} .1441102{col 31}{space 2} .0584014{col 42}{space 1}    2.47{col 51}{space 3}0.014{col 59}{space 4} .0296042{col 72}{space 3} .2586163
{txt}Russia accuses#1  {c |}{col 19}{res}{space 2} .2045018{col 31}{space 2} .0572095{col 42}{space 1}    3.57{col 51}{space 3}0.000{col 59}{space 4} .0923328{col 72}{space 3} .3166708
{txt}{space 17} {c |}
{space 3}alphagenthreat {c |}{col 19}{res}{space 2}  .148721{col 31}{space 2} .0177902{col 42}{space 1}    8.36{col 51}{space 3}0.000{col 59}{space 4} .1138402{col 72}{space 3} .1836018
{txt}{space 8}revthreat {c |}{col 19}{res}{space 2} .3753711{col 31}{space 2} .0148564{col 42}{space 1}   25.27{col 51}{space 3}0.000{col 59}{space 4} .3462426{col 72}{space 3} .4044996
{txt}{space 12}_cons {c |}{col 19}{res}{space 2} 1.380985{col 31}{space 2} .0561107{col 42}{space 1}   24.61{col 51}{space 3}0.000{col 59}{space 4}  1.27097{col 72}{space 3} 1.490999
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. reg alphaoffense i.cybertxt##usa  alphagenthreat revthreat revoffensejust, robust

{txt}Linear regression                               Number of obs     = {res}     3,356
                                                {txt}F(8, 3347)        =  {res}   341.58
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.4713
                                                {txt}Root MSE          =    {res} .58789

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}     alphaoffense{col 19}{c |} Coefficient{col 31}  std. err.{col 43}      t{col 51}   P>|t|{col 59}     [95% con{col 72}f. interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}cybertxt {c |}
{space 6}US accuses  {c |}{col 19}{res}{space 2}-.0753626{col 31}{space 2} .0340303{col 42}{space 1}   -2.21{col 51}{space 3}0.027{col 59}{space 4}-.1420848{col 72}{space 3}-.0086404
{txt}{space 2}Russia accuses  {c |}{col 19}{res}{space 2}-.0733263{col 31}{space 2} .0334176{col 42}{space 1}   -2.19{col 51}{space 3}0.028{col 59}{space 4}-.1388473{col 72}{space 3}-.0078054
{txt}{space 17} {c |}
{space 12}1.usa {c |}{col 19}{res}{space 2}-.0632557{col 31}{space 2} .0352842{col 42}{space 1}   -1.79{col 51}{space 3}0.073{col 59}{space 4}-.1324365{col 72}{space 3}  .005925
{txt}{space 17} {c |}
{space 5}cybertxt#usa {c |}
{space 4}US accuses#1  {c |}{col 19}{res}{space 2} .0782611{col 31}{space 2} .0500437{col 42}{space 1}    1.56{col 51}{space 3}0.118{col 59}{space 4}-.0198583{col 72}{space 3} .1763805
{txt}Russia accuses#1  {c |}{col 19}{res}{space 2} .1388539{col 31}{space 2} .0484062{col 42}{space 1}    2.87{col 51}{space 3}0.004{col 59}{space 4} .0439451{col 72}{space 3} .2337627
{txt}{space 17} {c |}
{space 3}alphagenthreat {c |}{col 19}{res}{space 2} .1066196{col 31}{space 2} .0153452{col 42}{space 1}    6.95{col 51}{space 3}0.000{col 59}{space 4} .0765328{col 72}{space 3} .1367065
{txt}{space 8}revthreat {c |}{col 19}{res}{space 2}  .164252{col 31}{space 2} .0142913{col 42}{space 1}   11.49{col 51}{space 3}0.000{col 59}{space 4} .1362315{col 72}{space 3} .1922724
{txt}{space 3}revoffensejust {c |}{col 19}{res}{space 2}   .44498{col 31}{space 2} .0139644{col 42}{space 1}   31.87{col 51}{space 3}0.000{col 59}{space 4} .4176003{col 72}{space 3} .4723597
{txt}{space 12}_cons {c |}{col 19}{res}{space 2} .7742301{col 31}{space 2} .0507871{col 42}{space 1}   15.24{col 51}{space 3}0.000{col 59}{space 4} .6746531{col 72}{space 3} .8738071
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. reg alphaoffense i.cybertxt##usa  alphagenthreat revthreat revoffensejust  female i.agecat, robust

{txt}Linear regression                               Number of obs     = {res}     3,333
                                                {txt}F(11, 3321)       =  {res}   248.07
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.4741
                                                {txt}Root MSE          =    {res} .58624

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}     alphaoffense{col 19}{c |} Coefficient{col 31}  std. err.{col 43}      t{col 51}   P>|t|{col 59}     [95% con{col 72}f. interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}cybertxt {c |}
{space 6}US accuses  {c |}{col 19}{res}{space 2}-.0749945{col 31}{space 2} .0340312{col 42}{space 1}   -2.20{col 51}{space 3}0.028{col 59}{space 4}-.1417187{col 72}{space 3}-.0082703
{txt}{space 2}Russia accuses  {c |}{col 19}{res}{space 2}-.0727484{col 31}{space 2} .0334426{col 42}{space 1}   -2.18{col 51}{space 3}0.030{col 59}{space 4}-.1383186{col 72}{space 3}-.0071781
{txt}{space 17} {c |}
{space 12}1.usa {c |}{col 19}{res}{space 2}-.0490661{col 31}{space 2} .0356687{col 42}{space 1}   -1.38{col 51}{space 3}0.169{col 59}{space 4} -.119001{col 72}{space 3} .0208689
{txt}{space 17} {c |}
{space 5}cybertxt#usa {c |}
{space 4}US accuses#1  {c |}{col 19}{res}{space 2} .0647661{col 31}{space 2} .0498142{col 42}{space 1}    1.30{col 51}{space 3}0.194{col 59}{space 4}-.0329036{col 72}{space 3} .1624358
{txt}Russia accuses#1  {c |}{col 19}{res}{space 2} .1287458{col 31}{space 2} .0485362{col 42}{space 1}    2.65{col 51}{space 3}0.008{col 59}{space 4}  .033582{col 72}{space 3} .2239097
{txt}{space 17} {c |}
{space 3}alphagenthreat {c |}{col 19}{res}{space 2} .1123299{col 31}{space 2}  .015582{col 42}{space 1}    7.21{col 51}{space 3}0.000{col 59}{space 4} .0817785{col 72}{space 3} .1428813
{txt}{space 8}revthreat {c |}{col 19}{res}{space 2} .1643209{col 31}{space 2} .0146815{col 42}{space 1}   11.19{col 51}{space 3}0.000{col 59}{space 4} .1355351{col 72}{space 3} .1931067
{txt}{space 3}revoffensejust {c |}{col 19}{res}{space 2} .4406413{col 31}{space 2} .0141545{col 42}{space 1}   31.13{col 51}{space 3}0.000{col 59}{space 4}  .412889{col 72}{space 3} .4683937
{txt}{space 11}female {c |}{col 19}{res}{space 2}-.0298196{col 31}{space 2} .0211826{col 42}{space 1}   -1.41{col 51}{space 3}0.159{col 59}{space 4}-.0713518{col 72}{space 3} .0117126
{txt}{space 17} {c |}
{space 11}agecat {c |}
{space 15}2  {c |}{col 19}{res}{space 2} .0566821{col 31}{space 2} .0269888{col 42}{space 1}    2.10{col 51}{space 3}0.036{col 59}{space 4} .0037657{col 72}{space 3} .1095986
{txt}{space 15}3  {c |}{col 19}{res}{space 2}-.0250864{col 31}{space 2} .0274461{col 42}{space 1}   -0.91{col 51}{space 3}0.361{col 59}{space 4}-.0788995{col 72}{space 3} .0287266
{txt}{space 17} {c |}
{space 12}_cons {c |}{col 19}{res}{space 2} .7759976{col 31}{space 2} .0539821{col 42}{space 1}   14.38{col 51}{space 3}0.000{col 59}{space 4}  .670156{col 72}{space 3} .8818391
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. *Response Escalation Mediation Analysis
. 
. *Potential Mechanisms Driving Escalation
. 
. catcibar alphaperthreat alphagenthreat revenemy revthreat revdefensejust revoffensejust, over(usa)
{txt}
{com}. 
. *Note additional formatting requires the "Mechanisms Formatting.grec" file with the command graph play "Mechanisms Formatting.grec" 
. 
. *First-stage Regression on Mediator Variables (OLS Regression)
. 
. reg alphaperthreat i.cybertxt##usa, robust

{txt}Linear regression                               Number of obs     = {res}     3,361
                                                {txt}F(5, 3355)        =  {res}     0.84
                                                {txt}Prob > F          = {res}    0.5179
                                                {txt}R-squared         = {res}    0.0013
                                                {txt}Root MSE          =    {res} .77368

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}   alphaperthreat{col 19}{c |} Coefficient{col 31}  std. err.{col 43}      t{col 51}   P>|t|{col 59}     [95% con{col 72}f. interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}cybertxt {c |}
{space 6}US accuses  {c |}{col 19}{res}{space 2} .0119981{col 31}{space 2} .0417461{col 42}{space 1}    0.29{col 51}{space 3}0.774{col 59}{space 4}-.0698522{col 72}{space 3} .0938484
{txt}{space 2}Russia accuses  {c |}{col 19}{res}{space 2} -.010224{col 31}{space 2} .0422573{col 42}{space 1}   -0.24{col 51}{space 3}0.809{col 59}{space 4}-.0930767{col 72}{space 3} .0726287
{txt}{space 17} {c |}
{space 12}1.usa {c |}{col 19}{res}{space 2}-.0570666{col 31}{space 2} .0480008{col 42}{space 1}   -1.19{col 51}{space 3}0.235{col 59}{space 4}-.1511803{col 72}{space 3} .0370471
{txt}{space 17} {c |}
{space 5}cybertxt#usa {c |}
{space 4}US accuses#1  {c |}{col 19}{res}{space 2} .0330335{col 31}{space 2} .0663622{col 42}{space 1}    0.50{col 51}{space 3}0.619{col 59}{space 4}-.0970809{col 72}{space 3} .1631478
{txt}Russia accuses#1  {c |}{col 19}{res}{space 2} .0014318{col 31}{space 2}  .067802{col 42}{space 1}    0.02{col 51}{space 3}0.983{col 59}{space 4}-.1315058{col 72}{space 3} .1343693
{txt}{space 17} {c |}
{space 12}_cons {c |}{col 19}{res}{space 2} 3.154412{col 31}{space 2} .0297232{col 42}{space 1}  106.13{col 51}{space 3}0.000{col 59}{space 4} 3.096134{col 72}{space 3} 3.212689
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. reg alphagenthreat i.cybertxt##usa, robust

{txt}Linear regression                               Number of obs     = {res}     3,361
                                                {txt}F(5, 3355)        =  {res}    74.91
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0942
                                                {txt}Root MSE          =    {res} .79873

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}   alphagenthreat{col 19}{c |} Coefficient{col 31}  std. err.{col 43}      t{col 51}   P>|t|{col 59}     [95% con{col 72}f. interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}cybertxt {c |}
{space 6}US accuses  {c |}{col 19}{res}{space 2} .0044797{col 31}{space 2} .0451729{col 42}{space 1}    0.10{col 51}{space 3}0.921{col 59}{space 4}-.0840894{col 72}{space 3} .0930489
{txt}{space 2}Russia accuses  {c |}{col 19}{res}{space 2} .0239612{col 31}{space 2} .0456059{col 42}{space 1}    0.53{col 51}{space 3}0.599{col 59}{space 4}-.0654571{col 72}{space 3} .1133794
{txt}{space 17} {c |}
{space 12}1.usa {c |}{col 19}{res}{space 2} .4686014{col 31}{space 2} .0489173{col 42}{space 1}    9.58{col 51}{space 3}0.000{col 59}{space 4} .3726906{col 72}{space 3} .5645123
{txt}{space 17} {c |}
{space 5}cybertxt#usa {c |}
{space 4}US accuses#1  {c |}{col 19}{res}{space 2}  .137591{col 31}{space 2} .0670177{col 42}{space 1}    2.05{col 51}{space 3}0.040{col 59}{space 4} .0061913{col 72}{space 3} .2689907
{txt}Russia accuses#1  {c |}{col 19}{res}{space 2} .0132361{col 31}{space 2} .0687411{col 42}{space 1}    0.19{col 51}{space 3}0.847{col 59}{space 4}-.1215425{col 72}{space 3} .1480148
{txt}{space 17} {c |}
{space 12}_cons {c |}{col 19}{res}{space 2} 2.730882{col 31}{space 2}  .032109{col 42}{space 1}   85.05{col 51}{space 3}0.000{col 59}{space 4} 2.667927{col 72}{space 3} 2.793837
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. reg revthreat i.cybertxt##usa, robust

{txt}Linear regression                               Number of obs     = {res}     3,361
                                                {txt}F(5, 3355)        =  {res}    71.26
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0912
                                                {txt}Root MSE          =    {res}  .9383

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}        revthreat{col 19}{c |} Coefficient{col 31}  std. err.{col 43}      t{col 51}   P>|t|{col 59}     [95% con{col 72}f. interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}cybertxt {c |}
{space 6}US accuses  {c |}{col 19}{res}{space 2} .0238127{col 31}{space 2} .0551107{col 42}{space 1}    0.43{col 51}{space 3}0.666{col 59}{space 4}-.0842412{col 72}{space 3} .1318665
{txt}{space 2}Russia accuses  {c |}{col 19}{res}{space 2} .0364929{col 31}{space 2} .0536772{col 42}{space 1}    0.68{col 51}{space 3}0.497{col 59}{space 4}-.0687505{col 72}{space 3} .1417364
{txt}{space 17} {c |}
{space 12}1.usa {c |}{col 19}{res}{space 2} .5921786{col 31}{space 2} .0554695{col 42}{space 1}   10.68{col 51}{space 3}0.000{col 59}{space 4}  .483421{col 72}{space 3} .7009361
{txt}{space 17} {c |}
{space 5}cybertxt#usa {c |}
{space 4}US accuses#1  {c |}{col 19}{res}{space 2} .0087978{col 31}{space 2} .0793425{col 42}{space 1}    0.11{col 51}{space 3}0.912{col 59}{space 4}-.1467667{col 72}{space 3} .1643623
{txt}Russia accuses#1  {c |}{col 19}{res}{space 2}  .023987{col 31}{space 2} .0776209{col 42}{space 1}    0.31{col 51}{space 3}0.757{col 59}{space 4}-.1282022{col 72}{space 3} .1761762
{txt}{space 17} {c |}
{space 12}_cons {c |}{col 19}{res}{space 2} 2.498529{col 31}{space 2} .0384952{col 42}{space 1}   64.90{col 51}{space 3}0.000{col 59}{space 4} 2.423053{col 72}{space 3} 2.574006
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. reg revenemy i.cybertxt##usa, robust

{txt}Linear regression                               Number of obs     = {res}     3,359
                                                {txt}F(5, 3353)        =  {res}    77.91
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0996
                                                {txt}Root MSE          =    {res} .95189

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}         revenemy{col 19}{c |} Coefficient{col 31}  std. err.{col 43}      t{col 51}   P>|t|{col 59}     [95% con{col 72}f. interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}cybertxt {c |}
{space 6}US accuses  {c |}{col 19}{res}{space 2} .0476004{col 31}{space 2} .0551431{col 42}{space 1}    0.86{col 51}{space 3}0.388{col 59}{space 4}-.0605171{col 72}{space 3} .1557178
{txt}{space 2}Russia accuses  {c |}{col 19}{res}{space 2} .0996603{col 31}{space 2} .0545783{col 42}{space 1}    1.83{col 51}{space 3}0.068{col 59}{space 4}-.0073499{col 72}{space 3} .2066705
{txt}{space 17} {c |}
{space 12}1.usa {c |}{col 19}{res}{space 2} .6253268{col 31}{space 2} .0563697{col 42}{space 1}   11.09{col 51}{space 3}0.000{col 59}{space 4} .5148043{col 72}{space 3} .7358493
{txt}{space 17} {c |}
{space 5}cybertxt#usa {c |}
{space 4}US accuses#1  {c |}{col 19}{res}{space 2} .0483139{col 31}{space 2} .0796813{col 42}{space 1}    0.61{col 51}{space 3}0.544{col 59}{space 4} -.107915{col 72}{space 3} .2045428
{txt}Russia accuses#1  {c |}{col 19}{res}{space 2}-.0095475{col 31}{space 2} .0799637{col 42}{space 1}   -0.12{col 51}{space 3}0.905{col 59}{space 4}  -.16633{col 72}{space 3}  .147235
{txt}{space 17} {c |}
{space 12}_cons {c |}{col 19}{res}{space 2} 2.319118{col 31}{space 2} .0388245{col 42}{space 1}   59.73{col 51}{space 3}0.000{col 59}{space 4} 2.242995{col 72}{space 3}  2.39524
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. reg revdefensejust i.cybertxt##usa, robust

{txt}Linear regression                               Number of obs     = {res}     3,360
                                                {txt}F(5, 3354)        =  {res}     1.56
                                                {txt}Prob > F          = {res}    0.1672
                                                {txt}R-squared         = {res}    0.0024
                                                {txt}Root MSE          =    {res} .79825

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}   revdefensejust{col 19}{c |} Coefficient{col 31}  std. err.{col 43}      t{col 51}   P>|t|{col 59}     [95% con{col 72}f. interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}cybertxt {c |}
{space 6}US accuses  {c |}{col 19}{res}{space 2} .0439613{col 31}{space 2} .0423524{col 42}{space 1}    1.04{col 51}{space 3}0.299{col 59}{space 4}-.0390779{col 72}{space 3} .1270005
{txt}{space 2}Russia accuses  {c |}{col 19}{res}{space 2} .0403239{col 31}{space 2} .0429598{col 42}{space 1}    0.94{col 51}{space 3}0.348{col 59}{space 4}-.0439062{col 72}{space 3}  .124554
{txt}{space 17} {c |}
{space 12}1.usa {c |}{col 19}{res}{space 2}-.0736305{col 31}{space 2} .0502564{col 42}{space 1}   -1.47{col 51}{space 3}0.143{col 59}{space 4}-.1721667{col 72}{space 3} .0249057
{txt}{space 17} {c |}
{space 5}cybertxt#usa {c |}
{space 4}US accuses#1  {c |}{col 19}{res}{space 2} .0307705{col 31}{space 2} .0692148{col 42}{space 1}    0.44{col 51}{space 3}0.657{col 59}{space 4}-.1049369{col 72}{space 3} .1664779
{txt}Russia accuses#1  {c |}{col 19}{res}{space 2}  .002456{col 31}{space 2} .0705611{col 42}{space 1}    0.03{col 51}{space 3}0.972{col 59}{space 4}-.1358911{col 72}{space 3} .1408031
{txt}{space 17} {c |}
{space 12}_cons {c |}{col 19}{res}{space 2} 3.339706{col 31}{space 2} .0303272{col 42}{space 1}  110.12{col 51}{space 3}0.000{col 59}{space 4} 3.280244{col 72}{space 3} 3.399168
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. reg revoffensejust i.cybertxt##usa, robust

{txt}Linear regression                               Number of obs     = {res}     3,359
                                                {txt}F(5, 3353)        =  {res}     3.24
                                                {txt}Prob > F          = {res}    0.0064
                                                {txt}R-squared         = {res}    0.0049
                                                {txt}Root MSE          =    {res} .94056

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}   revoffensejust{col 19}{c |} Coefficient{col 31}  std. err.{col 43}      t{col 51}   P>|t|{col 59}     [95% con{col 72}f. interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}cybertxt {c |}
{space 6}US accuses  {c |}{col 19}{res}{space 2}-.0893252{col 31}{space 2}  .052076{col 42}{space 1}   -1.72{col 51}{space 3}0.086{col 59}{space 4}-.1914292{col 72}{space 3} .0127788
{txt}{space 2}Russia accuses  {c |}{col 19}{res}{space 2} -.045803{col 31}{space 2} .0512956{col 42}{space 1}   -0.89{col 51}{space 3}0.372{col 59}{space 4}-.1463769{col 72}{space 3} .0547709
{txt}{space 17} {c |}
{space 12}1.usa {c |}{col 19}{res}{space 2} .0015359{col 31}{space 2} .0552911{col 42}{space 1}    0.03{col 51}{space 3}0.978{col 59}{space 4}-.1068718{col 72}{space 3} .1099436
{txt}{space 17} {c |}
{space 5}cybertxt#usa {c |}
{space 4}US accuses#1  {c |}{col 19}{res}{space 2} .1638444{col 31}{space 2} .0802102{col 42}{space 1}    2.04{col 51}{space 3}0.041{col 59}{space 4} .0065785{col 72}{space 3} .3211103
{txt}Russia accuses#1  {c |}{col 19}{res}{space 2} .1526809{col 31}{space 2} .0796006{col 42}{space 1}    1.92{col 51}{space 3}0.055{col 59}{space 4}-.0033899{col 72}{space 3} .3087516
{txt}{space 17} {c |}
{space 12}_cons {c |}{col 19}{res}{space 2} 2.807353{col 31}{space 2} .0351955{col 42}{space 1}   79.76{col 51}{space 3}0.000{col 59}{space 4} 2.738346{col 72}{space 3}  2.87636
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. *National Threat Sensitivity as Mediator of Response Escalation (US Sample)
. 
. medeff (regress alphagenthreat cybertxtusa) (regress alphaoffense alphagenthreat cybertxtusa  ) if cybertxtusa~=2 & usa==1, mediate(alphagenthreat) treat(cybertxtusa )
Using 0 and 1 as treatment values

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}       897
{txt}{hline 13}{c +}{hline 34}   F(1, 895)       = {res}     7.72
{txt}       Model {c |} {res} 4.22073831         1  4.22073831   {txt}Prob > F        ={res}    0.0056
{txt}    Residual {c |} {res} 489.106835       895  .546488084   {txt}R-squared       ={res}    0.0086
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0074
{txt}       Total {c |} {res} 493.327573       896  .550588809   {txt}Root MSE        =   {res} .73925

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}alphagenth~t{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}cybertxtusa {c |}{col 14}{res}{space 2} .1371939{col 26}{space 2} .0493663{col 37}{space 1}    2.78{col 46}{space 3}0.006{col 54}{space 4} .0403066{col 67}{space 3} .2340811
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 3.204361{col 26}{space 2} .0348098{col 37}{space 1}   92.05{col 46}{space 3}0.000{col 54}{space 4} 3.136042{col 67}{space 3} 3.272679
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}       897
{txt}{hline 13}{c +}{hline 34}   F(2, 894)       = {res}    71.58
{txt}       Model {c |} {res} 67.8783446         2  33.9391723   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 423.901176       894   .47416239   {txt}R-squared       ={res}    0.1380
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.1361
{txt}       Total {c |} {res} 491.779521       896  .548861072   {txt}Root MSE        =   {res} .68859

{txt}{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  alphaoffense{col 16}{c |} Coefficient{col 28}  Std. err.{col 40}      t{col 48}   P>|t|{col 56}     [95% con{col 69}f. interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}cybertxtusa {c |}{col 16}{res}{space 2} .0038323{col 28}{space 2} .0461817{col 39}{space 1}    0.08{col 48}{space 3}0.934{col 56}{space 4}-.0868049{col 69}{space 3} .0944695
{txt}alphagenthreat {c |}{col 16}{res}{space 2} .3706872{col 28}{space 2} .0311359{col 39}{space 1}   11.91{col 48}{space 3}0.000{col 56}{space 4} .3095792{col 69}{space 3} .4317952
{txt}{space 9}_cons {c |}{col 16}{res}{space 2} 1.623714{col 28}{space 2} .1049074{col 39}{space 1}   15.48{col 48}{space 3}0.000{col 56}{space 4} 1.417821{col 69}{space 3} 1.829608
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}The number of observations in the data is less than the number of simulations. Expanding the data to the number of simulations
{res}{txt}{hline 31}{c TT}{hline 52}
        Effect                 {c |}  Mean           [95% Conf. Interval]
{hline 31}{c +}{hline 52}
{res}        ACME                   {c |}  .0517585      .0132418      .0924914
        Direct Effect          {c |}  .0038584     -.0880806      .0945784
        Total Effect           {c |}  .0556169     -.0437384      .1542089
        % of Tot Eff mediated  {c |}  .7290575     -13.92964      12.22897
{txt}{hline 31}{c BT}{hline 52}

{com}. 
. medsens (regress alphagenthreat cybertxtusa) (regress alphaoffense alphagenthreat cybertxtusa  ) if cybertxtusa~=2 & usa==1, mediate(alphagenthreat) treat(cybertxtusa )

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}       897
{txt}{hline 13}{c +}{hline 34}   F(1, 895)       = {res}     7.72
{txt}       Model {c |} {res} 4.22073831         1  4.22073831   {txt}Prob > F        ={res}    0.0056
{txt}    Residual {c |} {res} 489.106835       895  .546488084   {txt}R-squared       ={res}    0.0086
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0074
{txt}       Total {c |} {res} 493.327573       896  .550588809   {txt}Root MSE        =   {res} .73925

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}alphagenth~t{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}cybertxtusa {c |}{col 14}{res}{space 2} .1371939{col 26}{space 2} .0493663{col 37}{space 1}    2.78{col 46}{space 3}0.006{col 54}{space 4} .0403066{col 67}{space 3} .2340811
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 3.204361{col 26}{space 2} .0348098{col 37}{space 1}   92.05{col 46}{space 3}0.000{col 54}{space 4} 3.136042{col 67}{space 3} 3.272679
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}(5 missing values generated)

      Source {c |}       SS           df       MS      Number of obs   ={res}       897
{txt}{hline 13}{c +}{hline 34}   F(2, 894)       = {res}    71.58
{txt}       Model {c |} {res} 67.8783446         2  33.9391723   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 423.901176       894   .47416239   {txt}R-squared       ={res}    0.1380
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.1361
{txt}       Total {c |} {res} 491.779521       896  .548861072   {txt}Root MSE        =   {res} .68859

{txt}{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  alphaoffense{col 16}{c |} Coefficient{col 28}  Std. err.{col 40}      t{col 48}   P>|t|{col 56}     [95% con{col 69}f. interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
alphagenthreat {c |}{col 16}{res}{space 2} .3706872{col 28}{space 2} .0311359{col 39}{space 1}   11.91{col 48}{space 3}0.000{col 56}{space 4} .3095792{col 69}{space 3} .4317952
{txt}{space 3}cybertxtusa {c |}{col 16}{res}{space 2} .0038323{col 28}{space 2} .0461817{col 39}{space 1}    0.08{col 48}{space 3}0.934{col 56}{space 4}-.0868049{col 69}{space 3} .0944695
{txt}{space 9}_cons {c |}{col 16}{res}{space 2} 1.623714{col 28}{space 2} .1049074{col 39}{space 1}   15.48{col 48}{space 3}0.000{col 56}{space 4} 1.417821{col 69}{space 3} 1.829608
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}(5 missing values generated)
{res}{txt}{p 0 4 2}
file {bf}
C:\Users\swhitt\AppData\Local\Temp\ST_d854_000002.tmp{rm}
saved
as .dta format
{p_end}


{hline 64}
Sensitivity results
{hline 41}{c TT}{hline 22}
{res}        Rho at which ACME = 0            {c |}     .3694
        R^2_M*R^2_Y* at which ACME = 0:  {c |}     .1365
        R^2_M~R^2_Y~ at which ACME = 0:  {c |}     .1166
{txt}{hline 41}{c BT}{hline 22}
95% Confidence interval

{com}. 
. medeff (regress alphagenthreat cybertxtusa) (regress alphaoffense alphagenthreat cybertxtusa  ) if cybertxtusa~=1 & usa==1, mediate(alphagenthreat) treat(cybertxtusa )
Using 0 and 1 as treatment values

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}       914
{txt}{hline 13}{c +}{hline 34}   F(1, 912)       = {res}     0.40
{txt}       Model {c |} {res} .238651627         1  .238651627   {txt}Prob > F        ={res}    0.5285
{txt}    Residual {c |} {res} 547.554846       912  .600389085   {txt}R-squared       ={res}    0.0004
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}   -0.0007
{txt}       Total {c |} {res} 547.793498       913  .599992878   {txt}Root MSE        =   {res} .77485

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}alphagenth~t{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}cybertxtusa {c |}{col 14}{res}{space 2} .0161602{col 26}{space 2} .0256319{col 37}{space 1}    0.63{col 46}{space 3}0.529{col 54}{space 4}-.0341442{col 67}{space 3} .0664645
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 3.204361{col 26}{space 2} .0364862{col 37}{space 1}   87.82{col 46}{space 3}0.000{col 54}{space 4} 3.132754{col 67}{space 3} 3.275967
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}       914
{txt}{hline 13}{c +}{hline 34}   F(2, 911)       = {res}    72.37
{txt}       Model {c |} {res} 67.7304169         2  33.8652084   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 426.300834       911  .467948227   {txt}R-squared       ={res}    0.1371
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.1352
{txt}       Total {c |} {res} 494.031251       913  .541107614   {txt}Root MSE        =   {res} .68407

{txt}{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  alphaoffense{col 16}{c |} Coefficient{col 28}  Std. err.{col 40}      t{col 48}   P>|t|{col 56}     [95% con{col 69}f. interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}cybertxtusa {c |}{col 16}{res}{space 2}  .057026{col 28}{space 2} .0226338{col 39}{space 1}    2.52{col 48}{space 3}0.012{col 56}{space 4} .0126055{col 69}{space 3} .1014465
{txt}alphagenthreat {c |}{col 16}{res}{space 2} .3422934{col 28}{space 2} .0292338{col 39}{space 1}   11.71{col 48}{space 3}0.000{col 56}{space 4}   .28492{col 69}{space 3} .3996668
{txt}{space 9}_cons {c |}{col 16}{res}{space 2} 1.714698{col 28}{space 2} .0990591{col 39}{space 1}   17.31{col 48}{space 3}0.000{col 56}{space 4} 1.520288{col 69}{space 3} 1.909109
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}The number of observations in the data is less than the number of simulations. Expanding the data to the number of simulations
{res}{txt}{hline 31}{c TT}{hline 52}
        Effect                 {c |}  Mean           [95% Conf. Interval]
{hline 31}{c +}{hline 52}
{res}        ACME                   {c |}   .005828     -.0127639      .0241638
        Direct Effect          {c |}  .0570388      .0119792       .101501
        Total Effect           {c |}  .0628668      .0142263      .1113556
        % of Tot Eff mediated  {c |}  .0927299      .0508709      .3586823
{txt}{hline 31}{c BT}{hline 52}

{com}. 
. medsens (regress alphagenthreat cybertxtusa) (regress alphaoffense alphagenthreat cybertxtusa  ) if cybertxtusa~=1 & usa==1, mediate(alphagenthreat) treat(cybertxtusa )
Dropping existing variable _med_rho
Dropping existing variable _med_delta0
Dropping existing variable _med_updelta0
Dropping existing variable _med_lodelta0
Dropping existing variable _med_delta1
Dropping existing variable _med_updelta1
Dropping existing variable _med_lodelta1

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}       914
{txt}{hline 13}{c +}{hline 34}   F(1, 912)       = {res}     0.40
{txt}       Model {c |} {res} .238651627         1  .238651627   {txt}Prob > F        ={res}    0.5285
{txt}    Residual {c |} {res} 547.554846       912  .600389085   {txt}R-squared       ={res}    0.0004
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}   -0.0007
{txt}       Total {c |} {res} 547.793498       913  .599992878   {txt}Root MSE        =   {res} .77485

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}alphagenth~t{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}cybertxtusa {c |}{col 14}{res}{space 2} .0161602{col 26}{space 2} .0256319{col 37}{space 1}    0.63{col 46}{space 3}0.529{col 54}{space 4}-.0341442{col 67}{space 3} .0664645
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 3.204361{col 26}{space 2} .0364862{col 37}{space 1}   87.82{col 46}{space 3}0.000{col 54}{space 4} 3.132754{col 67}{space 3} 3.275967
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}(5 missing values generated)

      Source {c |}       SS           df       MS      Number of obs   ={res}       914
{txt}{hline 13}{c +}{hline 34}   F(2, 911)       = {res}    72.37
{txt}       Model {c |} {res} 67.7304169         2  33.8652084   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 426.300834       911  .467948227   {txt}R-squared       ={res}    0.1371
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.1352
{txt}       Total {c |} {res} 494.031251       913  .541107614   {txt}Root MSE        =   {res} .68407

{txt}{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  alphaoffense{col 16}{c |} Coefficient{col 28}  Std. err.{col 40}      t{col 48}   P>|t|{col 56}     [95% con{col 69}f. interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
alphagenthreat {c |}{col 16}{res}{space 2} .3422934{col 28}{space 2} .0292338{col 39}{space 1}   11.71{col 48}{space 3}0.000{col 56}{space 4}   .28492{col 69}{space 3} .3996668
{txt}{space 3}cybertxtusa {c |}{col 16}{res}{space 2}  .057026{col 28}{space 2} .0226338{col 39}{space 1}    2.52{col 48}{space 3}0.012{col 56}{space 4} .0126055{col 69}{space 3} .1014465
{txt}{space 9}_cons {c |}{col 16}{res}{space 2} 1.714698{col 28}{space 2} .0990591{col 39}{space 1}   17.31{col 48}{space 3}0.000{col 56}{space 4} 1.520288{col 69}{space 3} 1.909109
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}(5 missing values generated)
{res}{txt}{p 0 4 2}
file {bf}
C:\Users\swhitt\AppData\Local\Temp\ST_d854_000002.tmp{rm}
saved
as .dta format
{p_end}


{hline 64}
Sensitivity results
{hline 41}{c TT}{hline 22}
{res}        Rho at which ACME = 0            {c |}     .3601
        R^2_M*R^2_Y* at which ACME = 0:  {c |}     .1297
        R^2_M~R^2_Y~ at which ACME = 0:  {c |}     .1118
{txt}{hline 41}{c BT}{hline 22}
95% Confidence interval

{com}. 
. *Justifiability of Offense as Mediator of Response Escalation (US Sample)
. 
. medeff (regress revoffensejust cybertxtusa) (regress alphaoffense revoffensejust cybertxtusa) if cybertxtusa~=2 & usa==1, mediate(revoffensejust) treat(cybertxtusa )
Using 0 and 1 as treatment values

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}       895
{txt}{hline 13}{c +}{hline 34}   F(1, 893)       = {res}     1.34
{txt}       Model {c |} {res} 1.11178053         1  1.11178053   {txt}Prob > F        ={res}    0.2478
{txt}    Residual {c |} {res} 742.222298       893  .831155988   {txt}R-squared       ={res}    0.0015
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0004
{txt}       Total {c |} {res} 743.334078       894  .831469886   {txt}Root MSE        =   {res} .91168

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}revoffense~t{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}cybertxtusa {c |}{col 14}{res}{space 2} .0704905{col 26}{space 2} .0609484{col 37}{space 1}    1.16{col 46}{space 3}0.248{col 54}{space 4}-.0491283{col 67}{space 3} .1901092
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 2.812918{col 26}{space 2} .0430247{col 37}{space 1}   65.38{col 46}{space 3}0.000{col 54}{space 4} 2.728476{col 67}{space 3} 2.897359
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}       895
{txt}{hline 13}{c +}{hline 34}   F(2, 892)       = {res}   285.07
{txt}       Model {c |} {res} 191.737899         2  95.8689495   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 299.982284       892  .336303009   {txt}R-squared       ={res}    0.3899
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.3886
{txt}       Total {c |} {res} 491.720183       894  .550022576   {txt}Root MSE        =   {res} .57992

{txt}{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  alphaoffense{col 16}{c |} Coefficient{col 28}  Std. err.{col 40}      t{col 48}   P>|t|{col 56}     [95% con{col 69}f. interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}cybertxtusa {c |}{col 16}{res}{space 2} .0182766{col 28}{space 2} .0387982{col 39}{space 1}    0.47{col 48}{space 3}0.638{col 56}{space 4}-.0578698{col 69}{space 3} .0944229
{txt}revoffensejust {c |}{col 16}{res}{space 2} .5073944{col 28}{space 2} .0212862{col 39}{space 1}   23.84{col 48}{space 3}0.000{col 56}{space 4} .4656175{col 69}{space 3} .5491712
{txt}{space 9}_cons {c |}{col 16}{res}{space 2} 1.384917{col 28}{space 2} .0658345{col 39}{space 1}   21.04{col 48}{space 3}0.000{col 56}{space 4} 1.255708{col 69}{space 3} 1.514125
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}The number of observations in the data is less than the number of simulations. Expanding the data to the number of simulations
{res}{txt}{hline 31}{c TT}{hline 52}
        Effect                 {c |}  Mean           [95% Conf. Interval]
{hline 31}{c +}{hline 52}
{res}        ACME                   {c |}  .0368323     -.0281578      .0992566
        Direct Effect          {c |}  .0182985     -.0589413      .0945142
        Total Effect           {c |}  .0551307     -.0429891      .1546734
        % of Tot Eff mediated  {c |}   .497915     -6.182988      6.409136
{txt}{hline 31}{c BT}{hline 52}

{com}. 
. medsens (regress revoffensejust cybertxtusa) (regress alphaoffense revoffensejust cybertxtusa) if cybertxtusa~=2 & usa==1, mediate(revoffensejust) treat(cybertxtusa )
Dropping existing variable _med_rho
Dropping existing variable _med_delta0
Dropping existing variable _med_updelta0
Dropping existing variable _med_lodelta0
Dropping existing variable _med_delta1
Dropping existing variable _med_updelta1
Dropping existing variable _med_lodelta1

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}       895
{txt}{hline 13}{c +}{hline 34}   F(1, 893)       = {res}     1.34
{txt}       Model {c |} {res} 1.11178053         1  1.11178053   {txt}Prob > F        ={res}    0.2478
{txt}    Residual {c |} {res} 742.222298       893  .831155988   {txt}R-squared       ={res}    0.0015
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0004
{txt}       Total {c |} {res} 743.334078       894  .831469886   {txt}Root MSE        =   {res} .91168

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}revoffense~t{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}cybertxtusa {c |}{col 14}{res}{space 2} .0704905{col 26}{space 2} .0609484{col 37}{space 1}    1.16{col 46}{space 3}0.248{col 54}{space 4}-.0491283{col 67}{space 3} .1901092
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 2.812918{col 26}{space 2} .0430247{col 37}{space 1}   65.38{col 46}{space 3}0.000{col 54}{space 4} 2.728476{col 67}{space 3} 2.897359
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}(7 missing values generated)

      Source {c |}       SS           df       MS      Number of obs   ={res}       895
{txt}{hline 13}{c +}{hline 34}   F(2, 892)       = {res}   285.07
{txt}       Model {c |} {res} 191.737899         2  95.8689495   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 299.982284       892  .336303009   {txt}R-squared       ={res}    0.3899
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.3886
{txt}       Total {c |} {res} 491.720183       894  .550022576   {txt}Root MSE        =   {res} .57992

{txt}{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  alphaoffense{col 16}{c |} Coefficient{col 28}  Std. err.{col 40}      t{col 48}   P>|t|{col 56}     [95% con{col 69}f. interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
revoffensejust {c |}{col 16}{res}{space 2} .5073944{col 28}{space 2} .0212862{col 39}{space 1}   23.84{col 48}{space 3}0.000{col 56}{space 4} .4656175{col 69}{space 3} .5491712
{txt}{space 3}cybertxtusa {c |}{col 16}{res}{space 2} .0182766{col 28}{space 2} .0387982{col 39}{space 1}    0.47{col 48}{space 3}0.638{col 56}{space 4}-.0578698{col 69}{space 3} .0944229
{txt}{space 9}_cons {c |}{col 16}{res}{space 2} 1.384917{col 28}{space 2} .0658345{col 39}{space 1}   21.04{col 48}{space 3}0.000{col 56}{space 4} 1.255708{col 69}{space 3} 1.514125
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}(5 missing values generated)
{res}{txt}{p 0 4 2}
file {bf}
C:\Users\swhitt\AppData\Local\Temp\ST_d854_000002.tmp{rm}
saved
as .dta format
{p_end}


{hline 64}
Sensitivity results
{hline 41}{c TT}{hline 22}
{res}        Rho at which ACME = 0            {c |}      .623
        R^2_M*R^2_Y* at which ACME = 0:  {c |}     .3881
        R^2_M~R^2_Y~ at which ACME = 0:  {c |}     .2364
{txt}{hline 41}{c BT}{hline 22}
95% Confidence interval

{com}. 
. medeff (regress revoffensejust cybertxtusa) (regress alphaoffense revoffensejust cybertxtusa) if cybertxtusa~=1 & usa==1, mediate(revoffensejust) treat(cybertxtusa )
Using 0 and 1 as treatment values

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}       912
{txt}{hline 13}{c +}{hline 34}   F(1, 910)       = {res}     2.86
{txt}       Model {c |} {res} 2.41120345         1  2.41120345   {txt}Prob > F        ={res}    0.0913
{txt}    Residual {c |} {res} 767.999981       910  .843956023   {txt}R-squared       ={res}    0.0031
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0020
{txt}       Total {c |} {res} 770.411184       911  .845676382   {txt}Root MSE        =   {res} .91867

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}revoffense~t{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}cybertxtusa {c |}{col 14}{res}{space 2} .0514246{col 26}{space 2} .0304238{col 37}{space 1}    1.69{col 46}{space 3}0.091{col 54}{space 4}-.0082844{col 67}{space 3} .1111336
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 2.812918{col 26}{space 2} .0433548{col 37}{space 1}   64.88{col 46}{space 3}0.000{col 54}{space 4} 2.727831{col 67}{space 3} 2.898005
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}       912
{txt}{hline 13}{c +}{hline 34}   F(2, 909)       = {res}   324.91
{txt}       Model {c |} {res} 206.844764         2  103.422382   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 289.341892       909  .318307912   {txt}R-squared       ={res}    0.4169
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.4156
{txt}       Total {c |} {res} 496.186656       911  .544661533   {txt}Root MSE        =   {res} .56419

{txt}{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  alphaoffense{col 16}{c |} Coefficient{col 28}  Std. err.{col 40}      t{col 48}   P>|t|{col 56}     [95% con{col 69}f. interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}cybertxtusa {c |}{col 16}{res}{space 2} .0325129{col 28}{space 2} .0187136{col 39}{space 1}    1.74{col 48}{space 3}0.083{col 56}{space 4} -.004214{col 69}{space 3} .0692399
{txt}revoffensejust {c |}{col 16}{res}{space 2} .5149729{col 28}{space 2} .0203584{col 39}{space 1}   25.30{col 48}{space 3}0.000{col 56}{space 4}  .475018{col 69}{space 3} .5549278
{txt}{space 9}_cons {c |}{col 16}{res}{space 2} 1.363599{col 28}{space 2} .0631535{col 39}{space 1}   21.59{col 48}{space 3}0.000{col 56}{space 4} 1.239655{col 69}{space 3} 1.487543
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}The number of observations in the data is less than the number of simulations. Expanding the data to the number of simulations
{res}{txt}{hline 31}{c TT}{hline 52}
        Effect                 {c |}  Mean           [95% Conf. Interval]
{hline 31}{c +}{hline 52}
{res}        ACME                   {c |}   .027048      -.005603      .0588863
        Direct Effect          {c |}  .0325235     -.0047318      .0692848
        Total Effect           {c |}  .0595715      .0110759      .1091655
        % of Tot Eff mediated  {c |}  .4493526      .2399685      1.968295
{txt}{hline 31}{c BT}{hline 52}

{com}. 
. medsens (regress revoffensejust cybertxtusa) (regress alphaoffense revoffensejust cybertxtusa) if cybertxtusa~=1 & usa==1, mediate(revoffensejust) treat(cybertxtusa )
Dropping existing variable _med_rho
Dropping existing variable _med_delta0
Dropping existing variable _med_updelta0
Dropping existing variable _med_lodelta0
Dropping existing variable _med_delta1
Dropping existing variable _med_updelta1
Dropping existing variable _med_lodelta1

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}       912
{txt}{hline 13}{c +}{hline 34}   F(1, 910)       = {res}     2.86
{txt}       Model {c |} {res} 2.41120345         1  2.41120345   {txt}Prob > F        ={res}    0.0913
{txt}    Residual {c |} {res} 767.999981       910  .843956023   {txt}R-squared       ={res}    0.0031
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0020
{txt}       Total {c |} {res} 770.411184       911  .845676382   {txt}Root MSE        =   {res} .91867

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}revoffense~t{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}cybertxtusa {c |}{col 14}{res}{space 2} .0514246{col 26}{space 2} .0304238{col 37}{space 1}    1.69{col 46}{space 3}0.091{col 54}{space 4}-.0082844{col 67}{space 3} .1111336
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 2.812918{col 26}{space 2} .0433548{col 37}{space 1}   64.88{col 46}{space 3}0.000{col 54}{space 4} 2.727831{col 67}{space 3} 2.898005
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}(7 missing values generated)

      Source {c |}       SS           df       MS      Number of obs   ={res}       912
{txt}{hline 13}{c +}{hline 34}   F(2, 909)       = {res}   324.91
{txt}       Model {c |} {res} 206.844764         2  103.422382   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 289.341892       909  .318307912   {txt}R-squared       ={res}    0.4169
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.4156
{txt}       Total {c |} {res} 496.186656       911  .544661533   {txt}Root MSE        =   {res} .56419

{txt}{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  alphaoffense{col 16}{c |} Coefficient{col 28}  Std. err.{col 40}      t{col 48}   P>|t|{col 56}     [95% con{col 69}f. interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
revoffensejust {c |}{col 16}{res}{space 2} .5149729{col 28}{space 2} .0203584{col 39}{space 1}   25.30{col 48}{space 3}0.000{col 56}{space 4}  .475018{col 69}{space 3} .5549278
{txt}{space 3}cybertxtusa {c |}{col 16}{res}{space 2} .0325129{col 28}{space 2} .0187136{col 39}{space 1}    1.74{col 48}{space 3}0.083{col 56}{space 4} -.004214{col 69}{space 3} .0692399
{txt}{space 9}_cons {c |}{col 16}{res}{space 2} 1.363599{col 28}{space 2} .0631535{col 39}{space 1}   21.59{col 48}{space 3}0.000{col 56}{space 4} 1.239655{col 69}{space 3} 1.487543
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}(5 missing values generated)
{res}{txt}{p 0 4 2}
file {bf}
C:\Users\swhitt\AppData\Local\Temp\ST_d854_000002.tmp{rm}
saved
as .dta format
{p_end}


{hline 64}
Sensitivity results
{hline 41}{c TT}{hline 22}
{res}        Rho at which ACME = 0            {c |}     .6397
        R^2_M*R^2_Y* at which ACME = 0:  {c |}     .4092
        R^2_M~R^2_Y~ at which ACME = 0:  {c |}     .2379
{txt}{hline 41}{c BT}{hline 22}
95% Confidence interval

{com}. 
. *Sensitivity Analysis of U.S. Threat Sensitivity and Response Escalation Treatment Effects
. 
. regsensitivity bounds alphagenthreat cybertxt alphaperthreat revthreat partyid female age education race dlatino dbornusa devangelical census_region if cybertxt~=1, dmp
{res}
{txt}{ul:Regression Sensitivity Analysis, Bounds}

Analysis{col 18}{res}: DMP (2022){col 48}{txt}Number of obs{col 67}{res}=         893
{col 48}{txt}Beta(short){col 67}{res}=       0.016
{txt}Treatment{col 18}{res}: cybertxt{col 48}{txt}Beta(medium){col 67}{res}=       0.015
{txt}Outcome{col 18}{res}: alphagenthreat{col 48}{txt}R2(short){col 67}{res}=       0.000
{col 48}{txt}R2(medium){col 67}{res}=       0.660
{col 48}{txt}Var(Y){col 67}{res}=       0.595
{col 48}{txt}Var(X){col 67}{res}=       1.001
{col 48}{txt}Var(X_Residual){col 67}{res}=       0.991

{txt}Hypothesis{col 18}{res}: Beta > 0         {col 48}{txt}Breakdown point{col 67}{res}=        31.6%
{txt}Other Params{col 18}{res}: cbar = 1, rybar = +inf

{txt}{hline 80}
 rxbar{col 35} Beta
{hline 80}
{res}{col 2}0.000{col 35}{txt}[{res} 0.0146{txt}, {res} 0.0146{txt} ]
{col 2}{res}0.102{col 35}{txt}[{res} 0.0101{txt}, {res} 0.0191{txt} ]
{col 2}{res}0.204{col 35}{txt}[{res} 0.0055{txt}, {res} 0.0237{txt} ]
{col 2}{res}0.306{col 35}{txt}[{res} 0.0005{txt}, {res} 0.0286{txt} ]
{col 2}{res}0.408{col 35}{txt}[{res}-0.0050{txt}, {res} 0.0341{txt} ]
{col 2}{res}0.510{col 35}{txt}[{res}-0.0114{txt}, {res} 0.0405{txt} ]
{col 2}{res}0.612{col 35}{txt}[{res}-0.0193{txt}, {res} 0.0485{txt} ]
{col 2}{res}0.714{col 35}{txt}[{res}-0.0302{txt}, {res} 0.0594{txt} ]
{col 2}{res}0.816{col 35}{txt}[{res}-0.0477{txt}, {res} 0.0769{txt} ]
{col 2}{res}0.918{col 35}{txt}[{res}-0.0893{txt}, {res} 0.1185{txt} ]
{col 2}{res}0.995{col 35}{txt}[   {res}-inf{txt},    {res}+inf{txt} ]
{hline 80}

{com}. 
. regsensitivity bounds alphaoffense cybertxt alphaperthreat revthreat revoffensejust partyid female age education race dlatino dbornusa devangelical census_region if cybertxt~=1, dmp
{res}
{txt}{ul:Regression Sensitivity Analysis, Bounds}

Analysis{col 18}{res}: DMP (2022){col 48}{txt}Number of obs{col 67}{res}=         889
{col 48}{txt}Beta(short){col 67}{res}=       0.053
{txt}Treatment{col 18}{res}: cybertxt{col 48}{txt}Beta(medium){col 67}{res}=       0.036
{txt}Outcome{col 18}{res}: alphaoffense{col 48}{txt}R2(short){col 67}{res}=       0.005
{col 48}{txt}R2(medium){col 67}{res}=       0.507
{col 48}{txt}Var(Y){col 67}{res}=       0.529
{col 48}{txt}Var(X){col 67}{res}=       1.001
{col 48}{txt}Var(X_Residual){col 67}{res}=       0.989

{txt}Hypothesis{col 18}{res}: Beta > 0         {col 48}{txt}Breakdown point{col 67}{res}=        53.5%
{txt}Other Params{col 18}{res}: cbar = 1, rybar = +inf

{txt}{hline 80}
 rxbar{col 35} Beta
{hline 80}
{res}{col 2}0.000{col 35}{txt}[{res} 0.0356{txt}, {res} 0.0356{txt} ]
{col 2}{res}0.102{col 35}{txt}[{res} 0.0299{txt}, {res} 0.0414{txt} ]
{col 2}{res}0.203{col 35}{txt}[{res} 0.0240{txt}, {res} 0.0473{txt} ]
{col 2}{res}0.305{col 35}{txt}[{res} 0.0177{txt}, {res} 0.0536{txt} ]
{col 2}{res}0.406{col 35}{txt}[{res} 0.0106{txt}, {res} 0.0606{txt} ]
{col 2}{res}0.508{col 35}{txt}[{res} 0.0025{txt}, {res} 0.0688{txt} ]
{col 2}{res}0.610{col 35}{txt}[{res}-0.0077{txt}, {res} 0.0789{txt} ]
{col 2}{res}0.711{col 35}{txt}[{res}-0.0215{txt}, {res} 0.0927{txt} ]
{col 2}{res}0.813{col 35}{txt}[{res}-0.0436{txt}, {res} 0.1148{txt} ]
{col 2}{res}0.915{col 35}{txt}[{res}-0.0952{txt}, {res} 0.1665{txt} ]
{col 2}{res}0.994{col 35}{txt}[   {res}-inf{txt},    {res}+inf{txt} ]
{hline 80}

{com}. 
. *Treatment Effects with Pre-treatment Moderation by Prior Awareness of Cybersecurity Concepts (Russia Only)
. 
. cibar alphagenthreat, over1(cybertxt) over2(q0)
{res}{txt}
{com}. cibar alphaoffense, over1(cybertxt) over2(q0)
{res}{txt}
{com}. 
. *Note additional formatting requires the "Awareness Formatting.grec" file with the command graph play "Awareness Formatting.grec" 
. 
. *Treatment Effects with Pre-treatment Moderation by Colonial Pipeline Attacks (US Only)
. 
. cibar alphagenthreat if usa==1, over1(cybertxt) over2(pipeline)
{res}{txt}
{com}. cibar alphaoffense if usa==1, over1(cybertxt) over2(pipeline)
{res}{txt}
{com}. 
. *Note additional formatting requires the "Pipeline Formatting.grec" file with the command graph play "Pipeline Formatting.grec" 
. 
. *Treatment Effects with Moderation by Partisanship (US Only)
. 
. cibar alphagenthreat if partyid<4, over1(cybertxt) over2(partyid)
{res}{txt}
{com}. cibar alphaoffense if partyid<4, over1(cybertxt) over2(partyid)
{res}{txt}
{com}. 
. *Defensive Response Preferences
. 
. reg alphadefense i.cybertxt##usa, robust

{txt}Linear regression                               Number of obs     = {res}     3,362
                                                {txt}F(5, 3356)        =  {res}    26.71
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0413
                                                {txt}Root MSE          =    {res}  .6173

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}     alphadefense{col 19}{c |} Coefficient{col 31}  std. err.{col 43}      t{col 51}   P>|t|{col 59}     [95% con{col 72}f. interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}cybertxt {c |}
{space 6}US accuses  {c |}{col 19}{res}{space 2}-.0619188{col 31}{space 2} .0307387{col 42}{space 1}   -2.01{col 51}{space 3}0.044{col 59}{space 4}-.1221873{col 72}{space 3}-.0016502
{txt}{space 2}Russia accuses  {c |}{col 19}{res}{space 2}-.0303191{col 31}{space 2} .0295592{col 42}{space 1}   -1.03{col 51}{space 3}0.305{col 59}{space 4}-.0882751{col 72}{space 3} .0276369
{txt}{space 17} {c |}
{space 12}1.usa {c |}{col 19}{res}{space 2}-.3172219{col 31}{space 2} .0396355{col 42}{space 1}   -8.00{col 51}{space 3}0.000{col 59}{space 4}-.3949341{col 72}{space 3}-.2395098
{txt}{space 17} {c |}
{space 5}cybertxt#usa {c |}
{space 4}US accuses#1  {c |}{col 19}{res}{space 2} .1109485{col 31}{space 2} .0555024{col 42}{space 1}    2.00{col 51}{space 3}0.046{col 59}{space 4} .0021265{col 72}{space 3} .2197705
{txt}Russia accuses#1  {c |}{col 19}{res}{space 2} .0732763{col 31}{space 2} .0558285{col 42}{space 1}    1.31{col 51}{space 3}0.189{col 59}{space 4} -.036185{col 72}{space 3} .1827377
{txt}{space 17} {c |}
{space 12}_cons {c |}{col 19}{res}{space 2} 3.628431{col 31}{space 2} .0210519{col 42}{space 1}  172.36{col 51}{space 3}0.000{col 59}{space 4} 3.587156{col 72}{space 3} 3.669707
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. reg revdefensejust i.cybertxt##usa, robust

{txt}Linear regression                               Number of obs     = {res}     3,360
                                                {txt}F(5, 3354)        =  {res}     1.56
                                                {txt}Prob > F          = {res}    0.1672
                                                {txt}R-squared         = {res}    0.0024
                                                {txt}Root MSE          =    {res} .79825

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}   revdefensejust{col 19}{c |} Coefficient{col 31}  std. err.{col 43}      t{col 51}   P>|t|{col 59}     [95% con{col 72}f. interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}cybertxt {c |}
{space 6}US accuses  {c |}{col 19}{res}{space 2} .0439613{col 31}{space 2} .0423524{col 42}{space 1}    1.04{col 51}{space 3}0.299{col 59}{space 4}-.0390779{col 72}{space 3} .1270005
{txt}{space 2}Russia accuses  {c |}{col 19}{res}{space 2} .0403239{col 31}{space 2} .0429598{col 42}{space 1}    0.94{col 51}{space 3}0.348{col 59}{space 4}-.0439062{col 72}{space 3}  .124554
{txt}{space 17} {c |}
{space 12}1.usa {c |}{col 19}{res}{space 2}-.0736305{col 31}{space 2} .0502564{col 42}{space 1}   -1.47{col 51}{space 3}0.143{col 59}{space 4}-.1721667{col 72}{space 3} .0249057
{txt}{space 17} {c |}
{space 5}cybertxt#usa {c |}
{space 4}US accuses#1  {c |}{col 19}{res}{space 2} .0307705{col 31}{space 2} .0692148{col 42}{space 1}    0.44{col 51}{space 3}0.657{col 59}{space 4}-.1049369{col 72}{space 3} .1664779
{txt}Russia accuses#1  {c |}{col 19}{res}{space 2}  .002456{col 31}{space 2} .0705611{col 42}{space 1}    0.03{col 51}{space 3}0.972{col 59}{space 4}-.1358911{col 72}{space 3} .1408031
{txt}{space 17} {c |}
{space 12}_cons {c |}{col 19}{res}{space 2} 3.339706{col 31}{space 2} .0303272{col 42}{space 1}  110.12{col 51}{space 3}0.000{col 59}{space 4} 3.280244{col 72}{space 3} 3.399168
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. reg alphadefense i.cybertxt##usa  alphagenthreat revthreat  revdefensejust  female i.agecat, robust

{txt}Linear regression                               Number of obs     = {res}     3,335
                                                {txt}F(11, 3323)       =  {res}   102.58
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.3540
                                                {txt}Root MSE          =    {res} .50265

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}     alphadefense{col 19}{c |} Coefficient{col 31}  std. err.{col 43}      t{col 51}   P>|t|{col 59}     [95% con{col 72}f. interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}cybertxt {c |}
{space 6}US accuses  {c |}{col 19}{res}{space 2}-.0769462{col 31}{space 2}  .027445{col 42}{space 1}   -2.80{col 51}{space 3}0.005{col 59}{space 4}-.1307569{col 72}{space 3}-.0231355
{txt}{space 2}Russia accuses  {c |}{col 19}{res}{space 2}-.0509571{col 31}{space 2} .0271495{col 42}{space 1}   -1.88{col 51}{space 3}0.061{col 59}{space 4}-.1041886{col 72}{space 3} .0022743
{txt}{space 17} {c |}
{space 12}1.usa {c |}{col 19}{res}{space 2}-.4222869{col 31}{space 2} .0335518{col 42}{space 1}  -12.59{col 51}{space 3}0.000{col 59}{space 4}-.4880711{col 72}{space 3}-.3565026
{txt}{space 17} {c |}
{space 5}cybertxt#usa {c |}
{space 4}US accuses#1  {c |}{col 19}{res}{space 2} .0678894{col 31}{space 2} .0435613{col 42}{space 1}    1.56{col 51}{space 3}0.119{col 59}{space 4}-.0175202{col 72}{space 3} .1532991
{txt}Russia accuses#1  {c |}{col 19}{res}{space 2}  .069154{col 31}{space 2}  .044114{col 42}{space 1}    1.57{col 51}{space 3}0.117{col 59}{space 4}-.0173393{col 72}{space 3} .1556474
{txt}{space 17} {c |}
{space 3}alphagenthreat {c |}{col 19}{res}{space 2} .2203998{col 31}{space 2}  .014173{col 42}{space 1}   15.55{col 51}{space 3}0.000{col 59}{space 4} .1926111{col 72}{space 3} .2481885
{txt}{space 8}revthreat {c |}{col 19}{res}{space 2} .0197002{col 31}{space 2}  .011392{col 42}{space 1}    1.73{col 51}{space 3}0.084{col 59}{space 4}-.0026358{col 72}{space 3} .0420363
{txt}{space 3}revdefensejust {c |}{col 19}{res}{space 2} .2798155{col 31}{space 2} .0169788{col 42}{space 1}   16.48{col 51}{space 3}0.000{col 59}{space 4} .2465256{col 72}{space 3} .3131055
{txt}{space 11}female {c |}{col 19}{res}{space 2} .0705716{col 31}{space 2}  .017911{col 42}{space 1}    3.94{col 51}{space 3}0.000{col 59}{space 4} .0354539{col 72}{space 3} .1056893
{txt}{space 17} {c |}
{space 11}agecat {c |}
{space 15}2  {c |}{col 19}{res}{space 2}-.0272956{col 31}{space 2} .0242311{col 42}{space 1}   -1.13{col 51}{space 3}0.260{col 59}{space 4} -.074805{col 72}{space 3} .0202138
{txt}{space 15}3  {c |}{col 19}{res}{space 2} .0988952{col 31}{space 2} .0234287{col 42}{space 1}    4.22{col 51}{space 3}0.000{col 59}{space 4} .0529591{col 72}{space 3} .1448313
{txt}{space 17} {c |}
{space 12}_cons {c |}{col 19}{res}{space 2} 1.982484{col 31}{space 2} .0681048{col 42}{space 1}   29.11{col 51}{space 3}0.000{col 59}{space 4} 1.848953{col 72}{space 3} 2.116016
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. *Response Escalation by Index Components
. 
. *Response Escalation by Response Type (OLS Regression)
. 
. reg alphaoffense i.cybertxt##usa, robust

{txt}Linear regression                               Number of obs     = {res}     3,361
                                                {txt}F(5, 3355)        =  {res}    14.51
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0199
                                                {txt}Root MSE          =    {res}  .8007

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}     alphaoffense{col 19}{c |} Coefficient{col 31}  std. err.{col 43}      t{col 51}   P>|t|{col 59}     [95% con{col 72}f. interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}cybertxt {c |}
{space 6}US accuses  {c |}{col 19}{res}{space 2}-.1107216{col 31}{space 2} .0462388{col 42}{space 1}   -2.39{col 51}{space 3}0.017{col 59}{space 4}-.2013807{col 72}{space 3}-.0200626
{txt}{space 2}Russia accuses  {c |}{col 19}{res}{space 2} -.085159{col 31}{space 2} .0459739{col 42}{space 1}   -1.85{col 51}{space 3}0.064{col 59}{space 4}-.1752987{col 72}{space 3} .0049808
{txt}{space 17} {c |}
{space 12}1.usa {c |}{col 19}{res}{space 2} .0865299{col 31}{space 2} .0480175{col 42}{space 1}    1.80{col 51}{space 3}0.072{col 59}{space 4}-.0076166{col 72}{space 3} .1806764
{txt}{space 17} {c |}
{space 5}cybertxt#usa {c |}
{space 4}US accuses#1  {c |}{col 19}{res}{space 2} .1654099{col 31}{space 2} .0676979{col 42}{space 1}    2.44{col 51}{space 3}0.015{col 59}{space 4} .0326767{col 72}{space 3} .2981432
{txt}Russia accuses#1  {c |}{col 19}{res}{space 2} .2061003{col 31}{space 2} .0669526{col 42}{space 1}    3.08{col 51}{space 3}0.002{col 59}{space 4} .0748283{col 72}{space 3} .3373723
{txt}{space 17} {c |}
{space 12}_cons {c |}{col 19}{res}{space 2}    2.725{col 31}{space 2} .0323676{col 42}{space 1}   84.19{col 51}{space 3}0.000{col 59}{space 4} 2.661538{col 72}{space 3} 2.788462
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. reg revsanctions i.cybertxt##usa, robust

{txt}Linear regression                               Number of obs     = {res}     3,360
                                                {txt}F(5, 3354)        =  {res}     3.51
                                                {txt}Prob > F          = {res}    0.0036
                                                {txt}R-squared         = {res}    0.0050
                                                {txt}Root MSE          =    {res} .90515

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}     revsanctions{col 19}{c |} Coefficient{col 31}  std. err.{col 43}      t{col 51}   P>|t|{col 59}     [95% con{col 72}f. interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}cybertxt {c |}
{space 6}US accuses  {c |}{col 19}{res}{space 2}-.0674975{col 31}{space 2} .0522967{col 42}{space 1}   -1.29{col 51}{space 3}0.197{col 59}{space 4}-.1700341{col 72}{space 3} .0350391
{txt}{space 2}Russia accuses  {c |}{col 19}{res}{space 2}  -.02054{col 31}{space 2} .0519637{col 42}{space 1}   -0.40{col 51}{space 3}0.693{col 59}{space 4}-.1224238{col 72}{space 3} .0813438
{txt}{space 17} {c |}
{space 12}1.usa {c |}{col 19}{res}{space 2} .0780392{col 31}{space 2} .0546728{col 42}{space 1}    1.43{col 51}{space 3}0.154{col 59}{space 4}-.0291562{col 72}{space 3} .1852346
{txt}{space 17} {c |}
{space 5}cybertxt#usa {c |}
{space 4}US accuses#1  {c |}{col 19}{res}{space 2} .0828637{col 31}{space 2} .0762785{col 42}{space 1}    1.09{col 51}{space 3}0.277{col 59}{space 4}-.0666933{col 72}{space 3} .2324207
{txt}Russia accuses#1  {c |}{col 19}{res}{space 2}  .048586{col 31}{space 2} .0761428{col 42}{space 1}    0.64{col 51}{space 3}0.523{col 59}{space 4} -.100705{col 72}{space 3}  .197877
{txt}{space 17} {c |}
{space 12}_cons {c |}{col 19}{res}{space 2} 3.135294{col 31}{space 2}  .036459{col 42}{space 1}   85.99{col 51}{space 3}0.000{col 59}{space 4}  3.06381{col 72}{space 3} 3.206778
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. reg revcyberattack i.cybertxt##usa, robust

{txt}Linear regression                               Number of obs     = {res}     3,360
                                                {txt}F(5, 3354)        =  {res}     4.00
                                                {txt}Prob > F          = {res}    0.0013
                                                {txt}R-squared         = {res}    0.0056
                                                {txt}Root MSE          =    {res} 1.0212

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}   revcyberattack{col 19}{c |} Coefficient{col 31}  std. err.{col 43}      t{col 51}   P>|t|{col 59}     [95% con{col 72}f. interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}cybertxt {c |}
{space 6}US accuses  {c |}{col 19}{res}{space 2}-.1528596{col 31}{space 2} .0571373{col 42}{space 1}   -2.68{col 51}{space 3}0.008{col 59}{space 4} -.264887{col 72}{space 3}-.0408322
{txt}{space 2}Russia accuses  {c |}{col 19}{res}{space 2}-.0974402{col 31}{space 2} .0573733{col 42}{space 1}   -1.70{col 51}{space 3}0.090{col 59}{space 4}-.2099304{col 72}{space 3}   .01505
{txt}{space 17} {c |}
{space 12}1.usa {c |}{col 19}{res}{space 2}-.1019608{col 31}{space 2} .0620633{col 42}{space 1}   -1.64{col 51}{space 3}0.101{col 59}{space 4}-.2236465{col 72}{space 3}  .019725
{txt}{space 17} {c |}
{space 5}cybertxt#usa {c |}
{space 4}US accuses#1  {c |}{col 19}{res}{space 2} .2235621{col 31}{space 2} .0880604{col 42}{space 1}    2.54{col 51}{space 3}0.011{col 59}{space 4} .0509047{col 72}{space 3} .3962196
{txt}Russia accuses#1  {c |}{col 19}{res}{space 2} .2830724{col 31}{space 2} .0862551{col 42}{space 1}    3.28{col 51}{space 3}0.001{col 59}{space 4} .1139543{col 72}{space 3} .4521904
{txt}{space 17} {c |}
{space 12}_cons {c |}{col 19}{res}{space 2} 2.735294{col 31}{space 2} .0405336{col 42}{space 1}   67.48{col 51}{space 3}0.000{col 59}{space 4} 2.655821{col 72}{space 3} 2.814767
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. reg revmilstrike i.cybertxt##usa, robust

{txt}Linear regression                               Number of obs     = {res}     3,361
                                                {txt}F(5, 3355)        =  {res}    32.39
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0437
                                                {txt}Root MSE          =    {res} 1.0581

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}     revmilstrike{col 19}{c |} Coefficient{col 31}  std. err.{col 43}      t{col 51}   P>|t|{col 59}     [95% con{col 72}f. interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}cybertxt {c |}
{space 6}US accuses  {c |}{col 19}{res}{space 2}-.1118078{col 31}{space 2} .0612253{col 42}{space 1}   -1.83{col 51}{space 3}0.068{col 59}{space 4}-.2318505{col 72}{space 3}  .008235
{txt}{space 2}Russia accuses  {c |}{col 19}{res}{space 2}-.1374967{col 31}{space 2}  .060613{col 42}{space 1}   -2.27{col 51}{space 3}0.023{col 59}{space 4}-.2563389{col 72}{space 3}-.0186545
{txt}{space 17} {c |}
{space 12}1.usa {c |}{col 19}{res}{space 2}  .287606{col 31}{space 2} .0627873{col 42}{space 1}    4.58{col 51}{space 3}0.000{col 59}{space 4} .1645007{col 72}{space 3} .4107113
{txt}{space 17} {c |}
{space 5}cybertxt#usa {c |}
{space 4}US accuses#1  {c |}{col 19}{res}{space 2} .1857093{col 31}{space 2} .0893435{col 42}{space 1}    2.08{col 51}{space 3}0.038{col 59}{space 4} .0105361{col 72}{space 3} .3608825
{txt}Russia accuses#1  {c |}{col 19}{res}{space 2} .2825479{col 31}{space 2} .0880885{col 42}{space 1}    3.21{col 51}{space 3}0.001{col 59}{space 4} .1098352{col 72}{space 3} .4552606
{txt}{space 17} {c |}
{space 12}_cons {c |}{col 19}{res}{space 2} 2.304412{col 31}{space 2} .0426595{col 42}{space 1}   54.02{col 51}{space 3}0.000{col 59}{space 4} 2.220771{col 72}{space 3} 2.388053
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. *Response Escalation by Response Type with Extended Controls (OLS Regression)
. 
. reg alphaoffense i.cybertxt##usa alphagenthreat revthreat  revoffensejust  female i.agecat, robust

{txt}Linear regression                               Number of obs     = {res}     3,333
                                                {txt}F(11, 3321)       =  {res}   248.07
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.4741
                                                {txt}Root MSE          =    {res} .58624

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}     alphaoffense{col 19}{c |} Coefficient{col 31}  std. err.{col 43}      t{col 51}   P>|t|{col 59}     [95% con{col 72}f. interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}cybertxt {c |}
{space 6}US accuses  {c |}{col 19}{res}{space 2}-.0749945{col 31}{space 2} .0340312{col 42}{space 1}   -2.20{col 51}{space 3}0.028{col 59}{space 4}-.1417187{col 72}{space 3}-.0082703
{txt}{space 2}Russia accuses  {c |}{col 19}{res}{space 2}-.0727484{col 31}{space 2} .0334426{col 42}{space 1}   -2.18{col 51}{space 3}0.030{col 59}{space 4}-.1383186{col 72}{space 3}-.0071781
{txt}{space 17} {c |}
{space 12}1.usa {c |}{col 19}{res}{space 2}-.0490661{col 31}{space 2} .0356687{col 42}{space 1}   -1.38{col 51}{space 3}0.169{col 59}{space 4} -.119001{col 72}{space 3} .0208689
{txt}{space 17} {c |}
{space 5}cybertxt#usa {c |}
{space 4}US accuses#1  {c |}{col 19}{res}{space 2} .0647661{col 31}{space 2} .0498142{col 42}{space 1}    1.30{col 51}{space 3}0.194{col 59}{space 4}-.0329036{col 72}{space 3} .1624358
{txt}Russia accuses#1  {c |}{col 19}{res}{space 2} .1287458{col 31}{space 2} .0485362{col 42}{space 1}    2.65{col 51}{space 3}0.008{col 59}{space 4}  .033582{col 72}{space 3} .2239097
{txt}{space 17} {c |}
{space 3}alphagenthreat {c |}{col 19}{res}{space 2} .1123299{col 31}{space 2}  .015582{col 42}{space 1}    7.21{col 51}{space 3}0.000{col 59}{space 4} .0817785{col 72}{space 3} .1428813
{txt}{space 8}revthreat {c |}{col 19}{res}{space 2} .1643209{col 31}{space 2} .0146815{col 42}{space 1}   11.19{col 51}{space 3}0.000{col 59}{space 4} .1355351{col 72}{space 3} .1931067
{txt}{space 3}revoffensejust {c |}{col 19}{res}{space 2} .4406413{col 31}{space 2} .0141545{col 42}{space 1}   31.13{col 51}{space 3}0.000{col 59}{space 4}  .412889{col 72}{space 3} .4683937
{txt}{space 11}female {c |}{col 19}{res}{space 2}-.0298196{col 31}{space 2} .0211826{col 42}{space 1}   -1.41{col 51}{space 3}0.159{col 59}{space 4}-.0713518{col 72}{space 3} .0117126
{txt}{space 17} {c |}
{space 11}agecat {c |}
{space 15}2  {c |}{col 19}{res}{space 2} .0566821{col 31}{space 2} .0269888{col 42}{space 1}    2.10{col 51}{space 3}0.036{col 59}{space 4} .0037657{col 72}{space 3} .1095986
{txt}{space 15}3  {c |}{col 19}{res}{space 2}-.0250864{col 31}{space 2} .0274461{col 42}{space 1}   -0.91{col 51}{space 3}0.361{col 59}{space 4}-.0788995{col 72}{space 3} .0287266
{txt}{space 17} {c |}
{space 12}_cons {c |}{col 19}{res}{space 2} .7759976{col 31}{space 2} .0539821{col 42}{space 1}   14.38{col 51}{space 3}0.000{col 59}{space 4}  .670156{col 72}{space 3} .8818391
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. reg revsanctions i.cybertxt##usa alphagenthreat revthreat  revoffensejust  female i.agecat, robust

{txt}Linear regression                               Number of obs     = {res}     3,332
                                                {txt}F(11, 3320)       =  {res}   148.61
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.3296
                                                {txt}Root MSE          =    {res} .74155

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}     revsanctions{col 19}{c |} Coefficient{col 31}  std. err.{col 43}      t{col 51}   P>|t|{col 59}     [95% con{col 72}f. interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}cybertxt {c |}
{space 6}US accuses  {c |}{col 19}{res}{space 2}-.0518207{col 31}{space 2} .0431403{col 42}{space 1}   -1.20{col 51}{space 3}0.230{col 59}{space 4} -.136405{col 72}{space 3} .0327636
{txt}{space 2}Russia accuses  {c |}{col 19}{res}{space 2}-.0290398{col 31}{space 2} .0435942{col 42}{space 1}   -0.67{col 51}{space 3}0.505{col 59}{space 4} -.114514{col 72}{space 3} .0564343
{txt}{space 17} {c |}
{space 12}1.usa {c |}{col 19}{res}{space 2}-.1907096{col 31}{space 2} .0453917{col 42}{space 1}   -4.20{col 51}{space 3}0.000{col 59}{space 4}-.2797081{col 72}{space 3}-.1017111
{txt}{space 17} {c |}
{space 5}cybertxt#usa {c |}
{space 4}US accuses#1  {c |}{col 19}{res}{space 2}-.0082662{col 31}{space 2} .0616254{col 42}{space 1}   -0.13{col 51}{space 3}0.893{col 59}{space 4}-.1290938{col 72}{space 3} .1125613
{txt}Russia accuses#1  {c |}{col 19}{res}{space 2}-.0031908{col 31}{space 2}  .062351{col 42}{space 1}   -0.05{col 51}{space 3}0.959{col 59}{space 4}-.1254411{col 72}{space 3} .1190595
{txt}{space 17} {c |}
{space 3}alphagenthreat {c |}{col 19}{res}{space 2} .2131893{col 31}{space 2} .0198887{col 42}{space 1}   10.72{col 51}{space 3}0.000{col 59}{space 4} .1741939{col 72}{space 3} .2521846
{txt}{space 8}revthreat {c |}{col 19}{res}{space 2} .2407292{col 31}{space 2} .0189512{col 42}{space 1}   12.70{col 51}{space 3}0.000{col 59}{space 4}  .203572{col 72}{space 3} .2778864
{txt}{space 3}revoffensejust {c |}{col 19}{res}{space 2} .2655363{col 31}{space 2} .0183977{col 42}{space 1}   14.43{col 51}{space 3}0.000{col 59}{space 4} .2294643{col 72}{space 3} .3016082
{txt}{space 11}female {c |}{col 19}{res}{space 2} .0923395{col 31}{space 2} .0264187{col 42}{space 1}    3.50{col 51}{space 3}0.000{col 59}{space 4}  .040541{col 72}{space 3}  .144138
{txt}{space 17} {c |}
{space 11}agecat {c |}
{space 15}2  {c |}{col 19}{res}{space 2} .1003037{col 31}{space 2} .0351381{col 42}{space 1}    2.85{col 51}{space 3}0.004{col 59}{space 4} .0314093{col 72}{space 3} .1691982
{txt}{space 15}3  {c |}{col 19}{res}{space 2} .2204516{col 31}{space 2} .0345666{col 42}{space 1}    6.38{col 51}{space 3}0.000{col 59}{space 4} .1526776{col 72}{space 3} .2882255
{txt}{space 17} {c |}
{space 12}_cons {c |}{col 19}{res}{space 2} 1.056122{col 31}{space 2} .0707007{col 42}{space 1}   14.94{col 51}{space 3}0.000{col 59}{space 4} .9175005{col 72}{space 3} 1.194743
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. reg revcyberattack i.cybertxt##usa alphagenthreat revthreat  revoffensejust  female i.agecat, robust

{txt}Linear regression                               Number of obs     = {res}     3,332
                                                {txt}F(11, 3320)       =  {res}   191.48
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.3923
                                                {txt}Root MSE          =    {res} .79846

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}   revcyberattack{col 19}{c |} Coefficient{col 31}  std. err.{col 43}      t{col 51}   P>|t|{col 59}     [95% con{col 72}f. interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}cybertxt {c |}
{space 6}US accuses  {c |}{col 19}{res}{space 2}-.0996133{col 31}{space 2} .0447939{col 42}{space 1}   -2.22{col 51}{space 3}0.026{col 59}{space 4}-.1874398{col 72}{space 3}-.0117868
{txt}{space 2}Russia accuses  {c |}{col 19}{res}{space 2}-.0692905{col 31}{space 2} .0445518{col 42}{space 1}   -1.56{col 51}{space 3}0.120{col 59}{space 4}-.1566423{col 72}{space 3} .0180613
{txt}{space 17} {c |}
{space 12}1.usa {c |}{col 19}{res}{space 2}-.1585344{col 31}{space 2} .0494418{col 42}{space 1}   -3.21{col 51}{space 3}0.001{col 59}{space 4} -.255474{col 72}{space 3}-.0615948
{txt}{space 17} {c |}
{space 5}cybertxt#usa {c |}
{space 4}US accuses#1  {c |}{col 19}{res}{space 2} .0990492{col 31}{space 2} .0692208{col 42}{space 1}    1.43{col 51}{space 3}0.153{col 59}{space 4}-.0366705{col 72}{space 3} .2347688
{txt}Russia accuses#1  {c |}{col 19}{res}{space 2} .1745156{col 31}{space 2} .0675552{col 42}{space 1}    2.58{col 51}{space 3}0.010{col 59}{space 4} .0420616{col 72}{space 3} .3069697
{txt}{space 17} {c |}
{space 3}alphagenthreat {c |}{col 19}{res}{space 2} .0721394{col 31}{space 2} .0203081{col 42}{space 1}    3.55{col 51}{space 3}0.000{col 59}{space 4} .0323218{col 72}{space 3} .1119571
{txt}{space 8}revthreat {c |}{col 19}{res}{space 2} .0726438{col 31}{space 2} .0200265{col 42}{space 1}    3.63{col 51}{space 3}0.000{col 59}{space 4} .0333783{col 72}{space 3} .1119093
{txt}{space 3}revoffensejust {c |}{col 19}{res}{space 2} .6053418{col 31}{space 2} .0191819{col 42}{space 1}   31.56{col 51}{space 3}0.000{col 59}{space 4} .5677323{col 72}{space 3} .6429513
{txt}{space 11}female {c |}{col 19}{res}{space 2}-.1498962{col 31}{space 2} .0293081{col 42}{space 1}   -5.11{col 51}{space 3}0.000{col 59}{space 4}  -.20736{col 72}{space 3}-.0924325
{txt}{space 17} {c |}
{space 11}agecat {c |}
{space 15}2  {c |}{col 19}{res}{space 2}  .030194{col 31}{space 2} .0368906{col 42}{space 1}    0.82{col 51}{space 3}0.413{col 59}{space 4}-.0421365{col 72}{space 3} .1025246
{txt}{space 15}3  {c |}{col 19}{res}{space 2}-.0968735{col 31}{space 2} .0372934{col 42}{space 1}   -2.60{col 51}{space 3}0.009{col 59}{space 4}-.1699938{col 72}{space 3}-.0237531
{txt}{space 17} {c |}
{space 12}_cons {c |}{col 19}{res}{space 2} .7663425{col 31}{space 2} .0744182{col 42}{space 1}   10.30{col 51}{space 3}0.000{col 59}{space 4} .6204323{col 72}{space 3} .9122528
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. reg revmilstrike i.cybertxt##usa alphagenthreat revthreat  revoffensejust  female i.agecat, robust

{txt}Linear regression                               Number of obs     = {res}     3,333
                                                {txt}F(11, 3321)       =  {res}   136.19
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.2959
                                                {txt}Root MSE          =    {res} .90909

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}     revmilstrike{col 19}{c |} Coefficient{col 31}  std. err.{col 43}      t{col 51}   P>|t|{col 59}     [95% con{col 72}f. interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}cybertxt {c |}
{space 6}US accuses  {c |}{col 19}{res}{space 2}-.0734843{col 31}{space 2} .0527699{col 42}{space 1}   -1.39{col 51}{space 3}0.164{col 59}{space 4}-.1769492{col 72}{space 3} .0299806
{txt}{space 2}Russia accuses  {c |}{col 19}{res}{space 2}-.1198435{col 31}{space 2} .0518424{col 42}{space 1}   -2.31{col 51}{space 3}0.021{col 59}{space 4}-.2214897{col 72}{space 3}-.0181973
{txt}{space 17} {c |}
{space 12}1.usa {c |}{col 19}{res}{space 2} .2060146{col 31}{space 2} .0548117{col 42}{space 1}    3.76{col 51}{space 3}0.000{col 59}{space 4} .0985465{col 72}{space 3} .3134827
{txt}{space 17} {c |}
{space 5}cybertxt#usa {c |}
{space 4}US accuses#1  {c |}{col 19}{res}{space 2}  .100329{col 31}{space 2} .0773901{col 42}{space 1}    1.30{col 51}{space 3}0.195{col 59}{space 4}-.0514082{col 72}{space 3} .2520661
{txt}Russia accuses#1  {c |}{col 19}{res}{space 2}  .211721{col 31}{space 2} .0752301{col 42}{space 1}    2.81{col 51}{space 3}0.005{col 59}{space 4}  .064219{col 72}{space 3}  .359223
{txt}{space 17} {c |}
{space 3}alphagenthreat {c |}{col 19}{res}{space 2} .0513268{col 31}{space 2} .0215425{col 42}{space 1}    2.38{col 51}{space 3}0.017{col 59}{space 4} .0090888{col 72}{space 3} .0935648
{txt}{space 8}revthreat {c |}{col 19}{res}{space 2} .1791148{col 31}{space 2} .0223339{col 42}{space 1}    8.02{col 51}{space 3}0.000{col 59}{space 4} .1353251{col 72}{space 3} .2229045
{txt}{space 3}revoffensejust {c |}{col 19}{res}{space 2} .4515885{col 31}{space 2} .0210763{col 42}{space 1}   21.43{col 51}{space 3}0.000{col 59}{space 4} .4102646{col 72}{space 3} .4929125
{txt}{space 11}female {c |}{col 19}{res}{space 2}-.0311446{col 31}{space 2} .0329883{col 42}{space 1}   -0.94{col 51}{space 3}0.345{col 59}{space 4} -.095824{col 72}{space 3} .0335347
{txt}{space 17} {c |}
{space 11}agecat {c |}
{space 15}2  {c |}{col 19}{res}{space 2} .0382569{col 31}{space 2} .0409939{col 42}{space 1}    0.93{col 51}{space 3}0.351{col 59}{space 4} -.042119{col 72}{space 3} .1186327
{txt}{space 15}3  {c |}{col 19}{res}{space 2}-.2003034{col 31}{space 2} .0424149{col 42}{space 1}   -4.72{col 51}{space 3}0.000{col 59}{space 4}-.2834654{col 72}{space 3}-.1171414
{txt}{space 17} {c |}
{space 12}_cons {c |}{col 19}{res}{space 2} .5064547{col 31}{space 2} .0770998{col 42}{space 1}    6.57{col 51}{space 3}0.000{col 59}{space 4} .3552867{col 72}{space 3} .6576227
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. log close
      {txt}name:  {res}<unnamed>
       {txt}log:  {res}C:\Users\swhitt\Desktop\US Russia cyber security replication data\US Russia cybersecurity replication log file.smcl
  {txt}log type:  {res}smcl
 {txt}closed on:  {res}28 Feb 2025, 21:26:50
{txt}{.-}
{smcl}
{txt}{sf}{ul off}